AdaBoostM1: Base classifiers and their weights: Naive Bayes Classifier Class Attribute moa.NaiveBayes(1) moa.SPegasos(1) moa.LeveragingBag_kNN(1) moa.LeveragingBag_HoeffdingTree(1) moa.OzaBag_HoeffdingTree(1) moa.OzaBoost_HoeffdingTree(1) (0.04) (0.04) (0.06) (0.56) (0.16) (0.14) ====================================================================================================================================================================================================================================================== openml_task_id mean 1166.6 184.2 184.2 969.2429 1066.1273 549.53 std. dev. 982.4 5.1167 5.1167 971.9314 1000.3842 784.7979 weight sum 2 2 4 42 11 10 precision 30.7 30.7 30.7 30.7 30.7 30.7 meta_REPTreeDepth2ErrRate mean 28.5719 36.2375 56.4469 29.9988 49.7949 44.3213 std. dev. 3.4844 0.2323 10.9078 18.6576 31.8717 17.9442 weight sum 2 2 4 42 11 10 precision 1.3938 1.3938 1.3938 1.3938 1.3938 1.3938 meta_J48.00001.ErrRate mean 11.8903 30.0387 33.4806 23.6614 41.7584 35.7961 std. dev. 0.6258 1.2516 1.6259 13.7943 23.7972 12.0727 weight sum 2 2 4 42 11 10 precision 1.2516 1.2516 1.2516 1.2516 1.2516 1.2516 meta_NBErrRate mean 1.6476 10.9841 45.3095 20.5037 35.4488 22.847 std. dev. 0.5492 0.1831 5.2892 13.626 24.3013 9.7481 weight sum 2 2 4 42 11 10 precision 1.0984 1.0984 1.0984 1.0984 1.0984 1.0984 meta_MeanMutualInformation mean 0.3811 -0.9988 -0.7491 -0.1383 -0.098 -0.0131 std. dev. 0.0131 0.0044 0.4325 0.4597 0.4277 0.3358 weight sum 2 2 4 42 11 10 precision 0.0263 0.0263 0.0263 0.0263 0.0263 0.0263 meta_NBAUC mean 0.9981 0.933 0.7594 0.8628 0.8686 0.9171 std. dev. 0.0012 0.0012 0.0051 0.1229 0.0762 0.0681 weight sum 2 2 4 42 11 10 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_DecisionStumpKappa mean 0.3385 0.221 0.1554 0.3043 0.2562 0.2266 std. dev. 0.0207 0.0138 0.0383 0.2247 0.2683 0.1362 weight sum 2 2 4 42 11 10 precision 0.0138 0.0138 0.0138 0.0138 0.0138 0.0138 meta_HoeffdingDDM.warnings mean 0 0 3.025 1.5714 1.5 1.32 std. dev. 0.1833 0.1833 1.4289 2.6311 3.1209 2.189 weight sum 2 2 4 42 11 10 precision 1.1 1.1 1.1 1.1 1.1 1.1 meta_NoiseToSignalRatio mean 0 0 -47.2148 -42.4684 9.5384 -14.6891 std. dev. 3.4974 3.4974 81.7785 178.2047 18.6913 67.0516 weight sum 2 2 4 42 11 10 precision 20.9844 20.9844 20.9844 20.9844 20.9844 20.9844 meta_RandomTreeDepth3AUC_K=0 mean 0.9198 0.7169 0.6989 0.7744 0.7511 0.7568 std. dev. 0.0164 0.0098 0.0255 0.1071 0.0896 0.068 weight sum 2 2 4 42 11 10 precision 0.0065 0.0065 0.0065 0.0065 0.0065 0.0065 meta_PercentageOfNumericAtts mean 0.0183 0.9139 0.7311 0.275 0.3091 0.1864 std. dev. 0.0183 0.0061 0.3166 0.3696 0.396 0.3043 weight sum 2 2 4 42 11 10 precision 0.0366 0.0366 0.0366 0.0366 0.0366 0.0366 meta_EquivalentNumberOfAtts mean 11.1553 0 -47.4099 14.3425 20.2823 -7.8087 std. dev. 1.8592 1.8592 82.1164 72.5924 23.2142 70.2074 weight sum 2 2 4 42 11 10 precision 11.1553 11.1553 11.1553 11.1553 11.1553 11.1553 meta_HoeffdingDDM.changes mean 0 0 0.625 0.2381 0 0.125 std. dev. 0.2083 0.2083 1.0825 0.9144 0.2083 0.375 weight sum 2 2 4 42 11 10 precision 1.25 1.25 1.25 1.25 1.25 1.25 meta_ClassEntropy mean 2.3931 -0.9971 1.396 1.2132 2.4203 1.4459 std. dev. 0.0166 0.0166 1.3817 1.1279 1.4882 1.8066 weight sum 2 2 4 42 11 10 precision 0.0997 0.0997 0.0997 0.0997 0.0997 0.0997 meta_NaiveBayesDdm.changes mean 0 0 0.6667 0.5079 0 0.2667 std. dev. 0.2222 0.2222 1.1547 1.6702 0.2222 0.8 weight sum 2 2 4 42 11 10 precision 1.3333 1.3333 1.3333 1.3333 1.3333 1.3333 meta_NumMissingValues mean 0 0 0 0 12.9091 0 std. dev. 23.6667 23.6667 23.6667 23.6667 40.8221 23.6667 weight sum 2 2 4 42 11 10 precision 142 142 142 142 142 142 meta_NumNominalAtts mean 31.25 0 7.8125 40.1786 5.6818 40.625 std. dev. 5.2083 5.2083 13.5316 150.9958 12.053 24.407 weight sum 2 2 4 42 11 10 precision 31.25 31.25 31.25 31.25 31.25 31.25 meta_REPTreeDepth3AUC mean 0.9366 0.6908 0.6784 0.7705 0.7621 0.8155 std. dev. 0.0107 0.0071 0.0332 0.128 0.103 0.0702 weight sum 2 2 4 42 11 10 precision 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 meta_MeanAttributeEntropy mean 1.269 -0.9518 -0.9518 0.0957 0.5288 0.3384 std. dev. 0.0176 0.0176 0.0176 1.089 1.1628 1.0605 weight sum 2 2 4 42 11 10 precision 0.1058 0.1058 0.1058 0.1058 0.1058 0.1058 meta_MeanKurtosisOfNumericAtts mean -0.4081 -1.2244 0.2041 0.7385 0.3339 0.2041 std. dev. 0.4081 0.068 0.3535 2.3348 1.0121 0.8988 weight sum 2 2 4 42 11 10 precision 0.4081 0.4081 0.4081 0.4081 0.4081 0.4081 meta_REPTreeDepth3Kappa mean 0.7264 0.338 0.2265 0.4562 0.3674 0.4588 std. dev. 0.036 0.0072 0.0412 0.225 0.2607 0.1348 weight sum 2 2 4 42 11 10 precision 0.0144 0.0144 0.0144 0.0144 0.0144 0.0144 meta_J48.001.ErrRate mean 12.1078 29.4047 31.4227 22.9801 40.9884 34.7091 std. dev. 0.5766 1.7297 2.8684 13.4979 23.3819 12.4671 weight sum 2 2 4 42 11 10 precision 1.1531 1.1531 1.1531 1.1531 1.1531 1.1531 meta_NumNumericAtts mean 0 8.4444 8.4444 5.4286 9.596 10.5556 std. dev. 0.7037 0.7037 0.7037 10.9904 18.1909 22.6785 weight sum 2 2 4 42 11 10 precision 4.2222 4.2222 4.2222 4.2222 4.2222 4.2222 meta_ClassCount mean 5.3333 5.3333 6 4.8889 9.9394 8.2667 std. dev. 0.4444 0.4444 1.1547 3.2875 8.516 3.2551 weight sum 2 2 4 42 11 10 precision 2.6667 2.6667 2.6667 2.6667 2.6667 2.6667 meta_J48.00001.AUC mean 0.947 0.7194 0.7965 0.7444 0.7394 0.7848 std. dev. 0.0073 0.0147 0.0287 0.1508 0.1245 0.052 weight sum 2 2 4 42 11 10 precision 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 meta_PercentageOfBinaryAtts mean 0.0416 0 0.1975 0.2594 0.1285 0.1747 std. dev. 0.0069 0.0069 0.3421 0.3228 0.0962 0.2366 weight sum 2 2 4 42 11 10 precision 0.0416 0.0416 0.0416 0.0416 0.0416 0.0416 meta_DecisionStumpAUC mean 0.7803 0.6172 0.5933 0.6894 0.7007 0.6793 std. dev. 0.0064 0.0032 0.0199 0.0874 0.0899 0.0318 weight sum 2 2 4 42 11 10 precision 0.0064 0.0064 0.0064 0.0064 0.0064 0.0064 meta_RandomTreeDepth1AUC_K=0 mean 0.736 0.6179 0.5785 0.668 0.691 0.6666 std. dev. 0.0714 0.0074 0.0113 0.0851 0.0829 0.0588 weight sum 2 2 4 42 11 10 precision 0.0049 0.0049 0.0049 0.0049 0.0049 0.0049 meta_REPTreeDepth2Kappa mean 0.6257 0.2661 0.1402 0.388 0.3321 0.3395 std. dev. 0.0503 0.0072 0.0213 0.2084 0.274 0.1061 weight sum 2 2 4 42 11 10 precision 0.0144 0.0144 0.0144 0.0144 0.0144 0.0144 meta_PositivePercentage mean 0.0605 0 0.0832 0.1968 0.1604 0.1301 std. dev. 0.0017 0.0017 0.048 0.1711 0.1684 0.1786 weight sum 2 2 4 42 11 10 precision 0.0101 0.0101 0.0101 0.0101 0.0101 0.0101 meta_J48.0001.ErrRate mean 12.2951 30.123 32.582 23.4778 41.3562 35.2869 std. dev. 0.2049 1.8443 1.3746 13.4708 23.6923 12.5753 weight sum 2 2 4 42 11 10 precision 1.2295 1.2295 1.2295 1.2295 1.2295 1.2295 meta_MinNominalAttDistinctValues mean 1.6 -1.6 -0.8 1.2571 1.1636 2.08 std. dev. 0.2667 0.2667 1.3856 1.7295 1.3799 1.44 weight sum 2 2 4 42 11 10 precision 1.6 1.6 1.6 1.6 1.6 1.6 meta_RandomTreeDepth2AUC_K=0 mean 0.8773 0.684 0.6442 0.7395 0.7412 0.7331 std. dev. 0.0245 0.0092 0.0217 0.1083 0.0814 0.06 weight sum 2 2 4 42 11 10 precision 0.0061 0.0061 0.0061 0.0061 0.0061 0.0061 meta_MeanMeansOfNumericAtts mean 0 0 0 0 8723.4213 0 std. dev. 484.6345 484.6345 484.6345 484.6345 27585.8804 484.6345 weight sum 2 2 4 42 11 10 precision 2907.8071 2907.8071 2907.8071 2907.8071 2907.8071 2907.8071 meta_J48.0001.kappa mean 0.8472 0.3969 0.5114 0.4634 0.3927 0.4809 std. dev. 0.0076 0.0305 0.0932 0.2661 0.252 0.0924 weight sum 2 2 4 42 11 10 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_MeanNominalAttDistinctValues mean 4.0219 -0.8618 -0.1436 2.0588 4.1264 2.6717 std. dev. 0.0479 0.0479 1.244 1.7281 3.0557 1.3293 weight sum 2 2 4 42 11 10 precision 0.2873 0.2873 0.2873 0.2873 0.2873 0.2873 meta_J48.00001.kappa mean 0.8454 0.4033 0.508 0.4605 0.3836 0.4653 std. dev. 0.0078 0.031 0.088 0.265 0.2662 0.085 weight sum 2 2 4 42 11 10 precision 0.0155 0.0155 0.0155 0.0155 0.0155 0.0155 meta_PercentageOfNominalAtts mean 0.9596 0 0.1983 0.6641 0.6328 0.783 std. dev. 0.0128 0.0043 0.3435 0.3896 0.3818 0.3086 weight sum 2 2 4 42 11 10 precision 0.0256 0.0256 0.0256 0.0256 0.0256 0.0256 meta_REPTreeDepth1Kappa mean 0.3367 0.2372 0.1033 0.2846 0.2477 0.2449 std. dev. 0.0306 0.0077 0.0226 0.2298 0.3134 0.1299 weight sum 2 2 4 42 11 10 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_NegativePercentage mean 0.3236 0.5239 0.3775 0.539 0.3572 0.3698 std. dev. 0.0154 0.0026 0.1201 0.2416 0.2692 0.2299 weight sum 2 2 4 42 11 10 precision 0.0154 0.0154 0.0154 0.0154 0.0154 0.0154 meta_NumBinaryAtts mean 0 0 16.6667 26.9841 0 6.6667 std. dev. 11.1111 11.1111 28.8675 152.6205 11.1111 20 weight sum 2 2 4 42 11 10 precision 66.6667 66.6667 66.6667 66.6667 66.6667 66.6667 meta_NaiveBayesDdm.warnings mean 0 0 3.6667 2.5754 1.8333 2.0167 std. dev. 0.3056 0.3056 3.1754 4.3285 2.0683 3.9703 weight sum 2 2 4 42 11 10 precision 1.8333 1.8333 1.8333 1.8333 1.8333 1.8333 meta_MaxNominalAttDistinctValues mean 2.8 0 0.7 3.6667 12.4727 6.16 std. dev. 0.4667 0.4667 1.2124 3.318 11.5979 6.2359 weight sum 2 2 4 42 11 10 precision 2.8 2.8 2.8 2.8 2.8 2.8 meta_PercentageOfMissingValues mean 0 0 0 0 0.0009 0 std. dev. 0.0016 0.0016 0.0016 0.0016 0.0027 0.0016 weight sum 2 2 4 42 11 10 precision 0.0095 0.0095 0.0095 0.0095 0.0095 0.0095 meta_J48.001.AUC mean 0.9437 0.7268 0.8154 0.7486 0.7416 0.7904 std. dev. 0.0036 0.0253 0.0107 0.1534 0.1168 0.048 weight sum 2 2 4 42 11 10 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_J48.0001.AUC mean 0.9437 0.7195 0.7973 0.7442 0.7429 0.7904 std. dev. 0.0036 0.0181 0.0313 0.1516 0.1166 0.0503 weight sum 2 2 4 42 11 10 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_NBKappa mean 0.9733 0.7815 0.373 0.5687 0.518 0.6479 std. dev. 0.0071 0.0024 0.0118 0.2361 0.2297 0.1607 weight sum 2 2 4 42 11 10 precision 0.0142 0.0142 0.0142 0.0142 0.0142 0.0142 meta_REPTreeDepth1AUC mean 0.7888 0.6274 0.5925 0.6697 0.6678 0.6942 std. dev. 0.0037 0.0037 0.0061 0.1106 0.1432 0.0422 weight sum 2 2 4 42 11 10 precision 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 meta_NaiveBayesAdwin.changes mean 2.8125 0 0.2813 0.7768 0.9205 2.475 std. dev. 1.6875 0.1875 0.4871 1.7095 2.2407 2.1226 weight sum 2 2 4 42 11 10 precision 1.125 1.125 1.125 1.125 1.125 1.125 meta_REPTreeDepth3ErrRate mean 21.4 33.0727 52.5273 26.2173 47.1625 38.1309 std. dev. 3.2424 0.6485 8.9152 15.9513 29.7419 14.9933 weight sum 2 2 4 42 11 10 precision 1.297 1.297 1.297 1.297 1.297 1.297 meta_DecisionStumpErrRate mean 50.7682 39.6409 57.0273 35.137 53.7397 52.5764 std. dev. 2.0864 0.6955 9.6365 23.5597 32.1049 24.4721 weight sum 2 2 4 42 11 10 precision 1.3909 1.3909 1.3909 1.3909 1.3909 1.3909 meta_MeanStdDevOfNumericAtts mean 0 0 0 39.0072 4914.9133 0 std. dev. 273.0507 273.0507 273.0507 273.0507 15542.3206 273.0507 weight sum 2 2 4 42 11 10 precision 1638.3044 1638.3044 1638.3044 1638.3044 1638.3044 1638.3044 meta_Dimensionality mean 0.0356 0 0.0178 0.0467 0.013 0.0499 std. dev. 0.0059 0.0059 0.0309 0.1503 0.0229 0.0236 weight sum 2 2 4 42 11 10 precision 0.0356 0.0356 0.0356 0.0356 0.0356 0.0356 meta_REPTreeDepth2AUC mean 0.9045 0.6446 0.6339 0.7375 0.7362 0.7592 std. dev. 0.0142 0.0036 0.0174 0.1144 0.1101 0.0751 weight sum 2 2 4 42 11 10 precision 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 meta_StdvNominalAttDistinctValues mean 0.3308 -0.9924 -0.7443 0.3544 3.3682 0.7278 std. dev. 0.0551 0.0551 0.4297 1.0862 3.5061 1.3462 weight sum 2 2 4 42 11 10 precision 0.3308 0.3308 0.3308 0.3308 0.3308 0.3308 meta_HoeffdingAdwin.changes mean 2.3333 0 0.2917 0.3611 0.8485 2.45 std. dev. 1.1667 0.1944 0.5052 1.0338 1.9955 2.4721 weight sum 2 2 4 42 11 10 precision 1.1667 1.1667 1.1667 1.1667 1.1667 1.1667 meta_MeanSkewnessOfNumericAtts mean 0.0353 0 0 0.3324 0.1538 0.2468 std. dev. 0.0353 0.0118 0.1221 0.6099 0.2601 0.5048 weight sum 2 2 4 42 11 10 precision 0.0705 0.0705 0.0705 0.0705 0.0705 0.0705 meta_IncompleteInstanceCount mean 0 0 0 0 7.0909 0 std. dev. 13 13 13 13 22.4234 13 weight sum 2 2 4 42 11 10 precision 78 78 78 78 78 78 meta_DefaultAccuracy mean 0.3236 0.5239 0.3775 0.539 0.3572 0.3698 std. dev. 0.0154 0.0026 0.1201 0.2416 0.2692 0.2299 weight sum 2 2 4 42 11 10 precision 0.0154 0.0154 0.0154 0.0154 0.0154 0.0154 meta_REPTreeDepth1ErrRate mean 50.804 37.5508 59.2714 35.0614 52.6113 51.8348 std. dev. 2.2089 0.7363 11.2811 22.723 32.9524 23.0759 weight sum 2 2 4 42 11 10 precision 1.4726 1.4726 1.4726 1.4726 1.4726 1.4726 meta_J48.001.kappa mean 0.8396 0.4198 0.5572 0.4732 0.3969 0.4915 std. dev. 0.0025 0.0382 0.0333 0.2702 0.2495 0.0941 weight sum 2 2 4 42 11 10 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_NumAttributes mean 35.6429 0 17.8214 46.6752 12.961 49.9 std. dev. 5.9405 5.9405 30.8676 150.3146 22.9121 23.6428 weight sum 2 2 4 42 11 10 precision 35.6429 35.6429 35.6429 35.6429 35.6429 35.6429 Weight: 0.74 Naive Bayes Classifier Class Attribute moa.NaiveBayes(1) moa.SPegasos(1) moa.LeveragingBag_kNN(1) moa.LeveragingBag_HoeffdingTree(1) moa.OzaBag_HoeffdingTree(1) moa.OzaBoost_HoeffdingTree(1) (0.03) (0.03) (0.05) (0.61) (0.15) (0.12) ====================================================================================================================================================================================================================================================== openml_task_id mean 1166.6 184.2 184.2 911.7964 1011.8832 513.7133 std. dev. 982.4 5.1167 5.1167 959.7649 990.5218 753.211 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 30.7 30.7 30.7 30.7 30.7 30.7 meta_REPTreeDepth2ErrRate mean 28.5719 36.2375 56.4469 34.4249 45.4201 43.6654 std. dev. 3.4844 0.2323 10.9078 19.3247 32.1981 17.1576 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 1.3938 1.3938 1.3938 1.3938 1.3938 1.3938 meta_J48.00001.ErrRate mean 11.8903 30.0387 33.4806 26.6322 37.0752 35.2317 std. dev. 0.6258 1.2516 1.6259 14.0503 23.8401 11.5928 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 1.2516 1.2516 1.2516 1.2516 1.2516 1.2516 meta_NBErrRate mean 1.6476 10.9841 45.3095 22.0155 29.3524 23.73 std. dev. 0.5492 0.1831 5.2892 14.4901 24.1512 9.6375 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 1.0984 1.0984 1.0984 1.0984 1.0984 1.0984 meta_MeanMutualInformation mean 0.3811 -0.9988 -0.7491 -0.1474 -0.1337 -0.0119 std. dev. 0.0131 0.0044 0.4325 0.4762 0.4572 0.319 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0263 0.0263 0.0263 0.0263 0.0263 0.0263 meta_NBAUC mean 0.9981 0.933 0.7594 0.8716 0.8921 0.9045 std. dev. 0.0012 0.0012 0.0051 0.1178 0.0812 0.0752 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_DecisionStumpKappa mean 0.3385 0.221 0.1554 0.295 0.305 0.2165 std. dev. 0.0207 0.0138 0.0383 0.2076 0.2856 0.1329 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0138 0.0138 0.0138 0.0138 0.0138 0.0138 meta_HoeffdingDDM.warnings mean 0 0 3.025 1.3588 1.4924 1.7298 std. dev. 0.1833 0.1833 1.4289 2.5673 2.7855 2.4222 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 1.1 1.1 1.1 1.1 1.1 1.1 meta_NoiseToSignalRatio mean 0 0 -47.2148 -25.557 8.9567 -33.8219 std. dev. 3.4974 3.4974 81.7785 148.161 17.1171 86.1564 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 20.9844 20.9844 20.9844 20.9844 20.9844 20.9844 meta_RandomTreeDepth3AUC_K=0 mean 0.9198 0.7169 0.6989 0.7757 0.7739 0.7416 std. dev. 0.0164 0.0098 0.0255 0.0974 0.095 0.0793 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0065 0.0065 0.0065 0.0065 0.0065 0.0065 meta_PercentageOfNumericAtts mean 0.0183 0.9139 0.7311 0.2782 0.3136 0.1968 std. dev. 0.0183 0.0061 0.3166 0.3853 0.4129 0.2907 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0366 0.0366 0.0366 0.0366 0.0366 0.0366 meta_EquivalentNumberOfAtts mean 11.1553 0 -47.4099 13.8725 17.3451 -27.8226 std. dev. 1.8592 1.8592 82.1164 59.9914 21.2391 90.1717 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 11.1553 11.1553 11.1553 11.1553 11.1553 11.1553 meta_HoeffdingDDM.changes mean 0 0 0.625 0.1596 0 0.2353 std. dev. 0.2083 0.2083 1.0825 0.757 0.2083 0.4886 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 1.25 1.25 1.25 1.25 1.25 1.25 meta_ClassEntropy mean 2.3931 -0.9971 1.396 1.4101 2.2697 1.2064 std. dev. 0.0166 0.0166 1.3817 1.169 1.4325 1.8632 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0997 0.0997 0.0997 0.0997 0.0997 0.0997 meta_NaiveBayesDdm.changes mean 0 0 0.6667 0.3405 0 0.502 std. dev. 0.2222 0.2222 1.1547 1.3882 0.2222 1.0424 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 1.3333 1.3333 1.3333 1.3333 1.3333 1.3333 meta_NumMissingValues mean 0 0 0 0 9.9573 0 std. dev. 23.6667 23.6667 23.6667 23.6667 36.26 23.6667 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 142 142 142 142 142 142 meta_NumNominalAtts mean 31.25 0 7.8125 32.356 6.7645 42.7696 std. dev. 5.2083 5.2083 13.5316 124.5905 12.8698 24.0752 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 31.25 31.25 31.25 31.25 31.25 31.25 meta_REPTreeDepth3AUC mean 0.9366 0.6908 0.6784 0.778 0.7898 0.8068 std. dev. 0.0107 0.0071 0.0332 0.1156 0.1097 0.0718 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 meta_MeanAttributeEntropy mean 1.269 -0.9518 -0.9518 0.1816 0.3273 0.2119 std. dev. 0.0176 0.0176 0.0176 1.0689 1.1594 1.0778 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.1058 0.1058 0.1058 0.1058 0.1058 0.1058 meta_MeanKurtosisOfNumericAtts mean -0.4081 -1.2244 0.2041 0.5022 0.2265 0.1841 std. dev. 0.4081 0.068 0.3535 1.9493 0.9151 0.8558 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.4081 0.4081 0.4081 0.4081 0.4081 0.4081 meta_REPTreeDepth3Kappa mean 0.7264 0.338 0.2265 0.4523 0.4281 0.4435 std. dev. 0.036 0.0072 0.0412 0.205 0.2822 0.1363 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0144 0.0144 0.0144 0.0144 0.0144 0.0144 meta_J48.001.ErrRate mean 12.1078 29.4047 31.4227 25.8281 36.45 33.7933 std. dev. 0.5766 1.7297 2.8684 13.7118 23.4528 12.1616 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 1.1531 1.1531 1.1531 1.1531 1.1531 1.1531 meta_NumNumericAtts mean 0 8.4444 8.4444 6.1297 12.229 11.5904 std. dev. 0.7037 0.7037 0.7037 12.6598 21.9647 21.7656 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 4.2222 4.2222 4.2222 4.2222 4.2222 4.2222 meta_ClassCount mean 5.3333 5.3333 6 5.313 9.0894 8.502 std. dev. 0.4444 0.4444 1.1547 3.6468 7.8042 3.1727 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 2.6667 2.6667 2.6667 2.6667 2.6667 2.6667 meta_J48.00001.AUC mean 0.947 0.7194 0.7965 0.7545 0.7656 0.782 std. dev. 0.0073 0.0147 0.0287 0.1394 0.1274 0.0501 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 meta_PercentageOfBinaryAtts mean 0.0416 0 0.1975 0.2439 0.1277 0.2146 std. dev. 0.0069 0.0069 0.3421 0.3083 0.0948 0.2553 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0416 0.0416 0.0416 0.0416 0.0416 0.0416 meta_DecisionStumpAUC mean 0.7803 0.6172 0.5933 0.6869 0.717 0.6735 std. dev. 0.0064 0.0032 0.0199 0.0789 0.0946 0.0349 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0064 0.0064 0.0064 0.0064 0.0064 0.0064 meta_RandomTreeDepth1AUC_K=0 mean 0.736 0.6179 0.5785 0.6679 0.7026 0.6592 std. dev. 0.0714 0.0074 0.0113 0.078 0.0856 0.0602 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0049 0.0049 0.0049 0.0049 0.0049 0.0049 meta_REPTreeDepth2Kappa mean 0.6257 0.2661 0.1402 0.3762 0.3878 0.3231 std. dev. 0.0503 0.0072 0.0213 0.1874 0.2985 0.1123 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0144 0.0144 0.0144 0.0144 0.0144 0.0144 meta_PositivePercentage mean 0.0605 0 0.0832 0.1858 0.166 0.1173 std. dev. 0.0017 0.0017 0.048 0.1623 0.1766 0.174 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0101 0.0101 0.0101 0.0101 0.0101 0.0101 meta_J48.0001.ErrRate mean 12.2951 30.123 32.582 26.3401 36.7728 34.3587 std. dev. 0.2049 1.8443 1.3746 13.7054 23.7305 12.2703 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 1.2295 1.2295 1.2295 1.2295 1.2295 1.2295 meta_MinNominalAttDistinctValues mean 1.6 -1.6 -0.8 1.2036 1.0195 2.0329 std. dev. 0.2667 0.2667 1.3856 1.7299 1.435 1.375 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 1.6 1.6 1.6 1.6 1.6 1.6 meta_RandomTreeDepth2AUC_K=0 mean 0.8773 0.684 0.6442 0.7397 0.7583 0.7214 std. dev. 0.0245 0.0092 0.0217 0.0978 0.0841 0.0672 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0061 0.0061 0.0061 0.0061 0.0061 0.0061 meta_MeanMeansOfNumericAtts mean 0 0 0 0 6728.7366 0 std. dev. 484.6345 484.6345 484.6345 484.6345 24503.0151 484.6345 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 2907.8071 2907.8071 2907.8071 2907.8071 2907.8071 2907.8071 meta_J48.0001.kappa mean 0.8472 0.3969 0.5114 0.4706 0.46 0.4876 std. dev. 0.0076 0.0305 0.0932 0.2444 0.27 0.0901 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_MeanNominalAttDistinctValues mean 4.0219 -0.8618 -0.1436 1.9882 3.7522 2.6351 std. dev. 0.0479 0.0479 1.244 1.7023 3.0561 1.2673 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.2873 0.2873 0.2873 0.2873 0.2873 0.2873 meta_J48.00001.kappa mean 0.8454 0.4033 0.508 0.4672 0.4531 0.4608 std. dev. 0.0078 0.031 0.088 0.243 0.2821 0.0819 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0155 0.0155 0.0155 0.0155 0.0155 0.0155 meta_PercentageOfNominalAtts mean 0.9596 0 0.1983 0.6636 0.6305 0.774 std. dev. 0.0128 0.0043 0.3435 0.3968 0.396 0.2944 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0256 0.0256 0.0256 0.0256 0.0256 0.0256 meta_REPTreeDepth1Kappa mean 0.3367 0.2372 0.1033 0.2792 0.3124 0.2329 std. dev. 0.0306 0.0077 0.0226 0.2082 0.3448 0.1286 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_NegativePercentage mean 0.3236 0.5239 0.3775 0.4872 0.373 0.391 std. dev. 0.0154 0.0026 0.1201 0.2415 0.2621 0.2276 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0154 0.0154 0.0154 0.0154 0.0154 0.0154 meta_NumBinaryAtts mean 0 0 16.6667 18.0893 0 12.549 std. dev. 11.1111 11.1111 28.8675 125.6017 11.1111 26.06 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 66.6667 66.6667 66.6667 66.6667 66.6667 66.6667 meta_NaiveBayesDdm.warnings mean 0 0 3.6667 2.2036 1.8333 3.0771 std. dev. 0.3056 0.3056 3.1754 3.8286 1.9524 4.9562 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 1.8333 1.8333 1.8333 1.8333 1.8333 1.8333 meta_MaxNominalAttDistinctValues mean 2.8 0 0.7 3.4296 10.6878 6.1051 std. dev. 0.4667 0.4667 1.2124 3.1736 10.9398 5.9247 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 2.8 2.8 2.8 2.8 2.8 2.8 meta_PercentageOfMissingValues mean 0 0 0 0 0.0007 0 std. dev. 0.0016 0.0016 0.0016 0.0016 0.0024 0.0016 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0095 0.0095 0.0095 0.0095 0.0095 0.0095 meta_J48.001.AUC mean 0.9437 0.7268 0.8154 0.7592 0.7671 0.793 std. dev. 0.0036 0.0253 0.0107 0.142 0.1211 0.0463 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_J48.0001.AUC mean 0.9437 0.7195 0.7973 0.7543 0.7681 0.793 std. dev. 0.0036 0.0181 0.0313 0.1402 0.1207 0.0484 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_NBKappa mean 0.9733 0.7815 0.373 0.5866 0.5902 0.6276 std. dev. 0.0071 0.0024 0.0118 0.2292 0.2455 0.1646 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0142 0.0142 0.0142 0.0142 0.0142 0.0142 meta_REPTreeDepth1AUC mean 0.7888 0.6274 0.5925 0.6766 0.6991 0.6844 std. dev. 0.0037 0.0037 0.0061 0.0968 0.1518 0.0499 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 meta_NaiveBayesAdwin.changes mean 2.8125 0 0.2813 0.7354 1.3102 2.3426 std. dev. 1.6875 0.1875 0.4871 1.5822 2.7452 2.0555 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 1.125 1.125 1.125 1.125 1.125 1.125 meta_REPTreeDepth3ErrRate mean 21.4 33.0727 52.5273 29.8384 42.4085 37.9529 std. dev. 3.2424 0.6485 8.9152 16.3897 29.8015 14.2496 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 1.297 1.297 1.297 1.297 1.297 1.297 meta_DecisionStumpErrRate mean 50.7682 39.6409 57.0273 39.9155 50.1448 51.3764 std. dev. 2.0864 0.6955 9.6365 24.3144 32.6197 23.5248 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 1.3909 1.3909 1.3909 1.3909 1.3909 1.3909 meta_MeanStdDevOfNumericAtts mean 0 0 0 26.1492 3791.0764 0 std. dev. 273.0507 273.0507 273.0507 273.0507 13805.3856 273.0507 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 1638.3044 1638.3044 1638.3044 1638.3044 1638.3044 1638.3044 meta_Dimensionality mean 0.0356 0 0.0178 0.0393 0.0181 0.052 std. dev. 0.0059 0.0059 0.0309 0.1242 0.0263 0.0233 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0356 0.0356 0.0356 0.0356 0.0356 0.0356 meta_REPTreeDepth2AUC mean 0.9045 0.6446 0.6339 0.7437 0.7573 0.7462 std. dev. 0.0142 0.0036 0.0174 0.1035 0.1166 0.0815 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 meta_StdvNominalAttDistinctValues mean 0.3308 -0.9924 -0.7443 0.295 2.7998 0.7537 std. dev. 0.0551 0.0551 0.4297 1.021 3.3434 1.2809 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.3308 0.3308 0.3308 0.3308 0.3308 0.3308 meta_HoeffdingAdwin.changes mean 2.3333 0 0.2917 0.485 1.188 2.3242 std. dev. 1.1667 0.1944 0.5052 1.1911 2.4393 2.3786 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 1.1667 1.1667 1.1667 1.1667 1.1667 1.1667 meta_MeanSkewnessOfNumericAtts mean 0.0353 0 0 0.2693 0.1187 0.2295 std. dev. 0.0353 0.0118 0.1221 0.5323 0.2374 0.4823 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0705 0.0705 0.0705 0.0705 0.0705 0.0705 meta_IncompleteInstanceCount mean 0 0 0 0 5.4695 0 std. dev. 13 13 13 13 19.9175 13 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 78 78 78 78 78 78 meta_DefaultAccuracy mean 0.3236 0.5239 0.3775 0.4872 0.373 0.391 std. dev. 0.0154 0.0026 0.1201 0.2415 0.2621 0.2276 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0154 0.0154 0.0154 0.0154 0.0154 0.0154 meta_REPTreeDepth1ErrRate mean 50.804 37.5508 59.2714 39.8803 48.438 50.7954 std. dev. 2.2089 0.7363 11.2811 23.4825 34.0426 22.1411 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 1.4726 1.4726 1.4726 1.4726 1.4726 1.4726 meta_J48.001.kappa mean 0.8396 0.4198 0.5572 0.4809 0.4632 0.4972 std. dev. 0.0025 0.0382 0.0333 0.2478 0.2674 0.091 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_NumAttributes mean 35.6429 0 17.8214 39.3283 18.1474 51.9966 std. dev. 5.9405 5.9405 30.8676 124.2378 26.255 23.3371 weight sum 1.4792 1.4792 2.9583 46.3365 10.5471 8.1997 precision 35.6429 35.6429 35.6429 35.6429 35.6429 35.6429 Weight: 1.05 Naive Bayes Classifier Class Attribute moa.NaiveBayes(1) moa.SPegasos(1) moa.LeveragingBag_kNN(1) moa.LeveragingBag_HoeffdingTree(1) moa.OzaBag_HoeffdingTree(1) moa.OzaBoost_HoeffdingTree(1) (0.03) (0.03) (0.04) (0.66) (0.16) (0.1) ====================================================================================================================================================================================================================================================== openml_task_id mean 1166.6 184.2 184.2 752.58 1066.1668 466.6648 std. dev. 982.4 5.1167 5.1167 901.6919 990.4359 706.8326 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 30.7 30.7 30.7 30.7 30.7 30.7 meta_REPTreeDepth2ErrRate mean 28.5719 36.2375 56.4469 39.7477 45.3769 40.4158 std. dev. 3.4844 0.2323 10.9078 20.4017 29.6936 17.7694 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 1.3938 1.3938 1.3938 1.3938 1.3938 1.3938 meta_J48.00001.ErrRate mean 11.8903 30.0387 33.4806 28.7329 34.826 33.0606 std. dev. 0.6258 1.2516 1.6259 13.2403 20.4453 11.9793 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 1.2516 1.2516 1.2516 1.2516 1.2516 1.2516 meta_NBErrRate mean 1.6476 10.9841 45.3095 22.9006 22.3297 22.067 std. dev. 0.5492 0.1831 5.2892 14.6243 21.796 9.8094 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 1.0984 1.0984 1.0984 1.0984 1.0984 1.0984 meta_MeanMutualInformation mean 0.3811 -0.9988 -0.7491 -0.1304 -0.2482 -0.0064 std. dev. 0.0131 0.0044 0.4325 0.4756 0.5117 0.2956 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0263 0.0263 0.0263 0.0263 0.0263 0.0263 meta_NBAUC mean 0.9981 0.933 0.7594 0.8857 0.9166 0.9106 std. dev. 0.0012 0.0012 0.0051 0.1094 0.0765 0.0712 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_DecisionStumpKappa mean 0.3385 0.221 0.1554 0.2587 0.3095 0.2507 std. dev. 0.0207 0.0138 0.0383 0.1892 0.2648 0.1488 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0138 0.0138 0.0138 0.0138 0.0138 0.0138 meta_HoeffdingDDM.warnings mean 0 0 3.025 1.0462 1.3547 1.4828 std. dev. 0.1833 0.1833 1.4289 2.233 2.3444 2.3228 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 1.1 1.1 1.1 1.1 1.1 1.1 meta_NoiseToSignalRatio mean 0 0 -47.2148 -16.5004 9.4955 -25.9965 std. dev. 3.4974 3.4974 81.7785 118.8769 15.1445 82.0409 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 20.9844 20.9844 20.9844 20.9844 20.9844 20.9844 meta_RandomTreeDepth3AUC_K=0 mean 0.9198 0.7169 0.6989 0.7773 0.7849 0.7545 std. dev. 0.0164 0.0098 0.0255 0.0878 0.0795 0.0799 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0065 0.0065 0.0065 0.0065 0.0065 0.0065 meta_PercentageOfNumericAtts mean 0.0183 0.9139 0.7311 0.253 0.3767 0.1687 std. dev. 0.0183 0.0061 0.3166 0.384 0.4511 0.2778 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0366 0.0366 0.0366 0.0366 0.0366 0.0366 meta_EquivalentNumberOfAtts mean 11.1553 0 -47.4099 14.9486 13.2164 -19.0717 std. dev. 1.8592 1.8592 82.1164 50.435 18.3107 86.1959 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 11.1553 11.1553 11.1553 11.1553 11.1553 11.1553 meta_HoeffdingDDM.changes mean 0 0 0.625 0.1008 0 0.2017 std. dev. 0.2083 0.2083 1.0825 0.6066 0.2083 0.4598 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 1.25 1.25 1.25 1.25 1.25 1.25 meta_ClassEntropy mean 2.3931 -0.9971 1.396 1.6699 2.2256 1.1765 std. dev. 0.0166 0.0166 1.3817 1.3098 1.3406 1.7266 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0997 0.0997 0.0997 0.0997 0.0997 0.0997 meta_NaiveBayesDdm.changes mean 0 0 0.6667 0.2151 0 0.4303 std. dev. 0.2222 0.2222 1.1547 1.1155 0.2222 0.981 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 1.3333 1.3333 1.3333 1.3333 1.3333 1.3333 meta_NumMissingValues mean 0 0 0 0 6.4637 0 std. dev. 23.6667 23.6667 23.6667 23.6667 29.5984 23.6667 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 142 142 142 142 142 142 meta_NumNominalAtts mean 31.25 0 7.8125 30.7344 4.3911 41.1248 std. dev. 5.2083 5.2083 13.5316 99.5976 10.86 22.6517 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 31.25 31.25 31.25 31.25 31.25 31.25 meta_REPTreeDepth3AUC mean 0.9366 0.6908 0.6784 0.7882 0.805 0.8146 std. dev. 0.0107 0.0071 0.0332 0.1032 0.0923 0.0692 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 meta_MeanAttributeEntropy mean 1.269 -0.9518 -0.9518 0.1504 0.1939 0.3176 std. dev. 0.0176 0.0176 0.0176 1.0437 1.0904 1.0309 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.1058 0.1058 0.1058 0.1058 0.1058 0.1058 meta_MeanKurtosisOfNumericAtts mean -0.4081 -1.2244 0.2041 0.3311 0.0754 0.1578 std. dev. 0.4081 0.068 0.3535 1.6085 0.7749 0.795 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.4081 0.4081 0.4081 0.4081 0.4081 0.4081 meta_REPTreeDepth3Kappa mean 0.7264 0.338 0.2265 0.4475 0.4419 0.4685 std. dev. 0.036 0.0072 0.0412 0.1817 0.2394 0.1403 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0144 0.0144 0.0144 0.0144 0.0144 0.0144 meta_J48.001.ErrRate mean 12.1078 29.4047 31.4227 27.8003 34.3827 31.4379 std. dev. 0.5766 1.7297 2.8684 12.7122 20.1758 12.6528 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 1.1531 1.1531 1.1531 1.1531 1.1531 1.1531 meta_NumNumericAtts mean 0 8.4444 8.4444 5.0922 19.0489 9.9355 std. dev. 0.7037 0.7037 0.7037 10.7649 27.4055 20.5559 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 4.2222 4.2222 4.2222 4.2222 4.2222 4.2222 meta_ClassCount mean 5.3333 5.3333 6 6.3027 8.7072 7.6688 std. dev. 0.4444 0.4444 1.1547 4.286 6.504 3.5772 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 2.6667 2.6667 2.6667 2.6667 2.6667 2.6667 meta_J48.00001.AUC mean 0.947 0.7194 0.7965 0.7738 0.7739 0.7877 std. dev. 0.0073 0.0147 0.0287 0.1205 0.1034 0.0485 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 meta_PercentageOfBinaryAtts mean 0.0416 0 0.1975 0.2674 0.1193 0.2552 std. dev. 0.0069 0.0069 0.3421 0.3255 0.0988 0.2564 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0416 0.0416 0.0416 0.0416 0.0416 0.0416 meta_DecisionStumpAUC mean 0.7803 0.6172 0.5933 0.6793 0.7156 0.6806 std. dev. 0.0064 0.0032 0.0199 0.0694 0.0801 0.0366 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0064 0.0064 0.0064 0.0064 0.0064 0.0064 meta_RandomTreeDepth1AUC_K=0 mean 0.736 0.6179 0.5785 0.6664 0.6997 0.6691 std. dev. 0.0714 0.0074 0.0113 0.0703 0.0774 0.0608 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0049 0.0049 0.0049 0.0049 0.0049 0.0049 meta_REPTreeDepth2Kappa mean 0.6257 0.2661 0.1402 0.3558 0.3854 0.3591 std. dev. 0.0503 0.0072 0.0213 0.166 0.2566 0.1364 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0144 0.0144 0.0144 0.0144 0.0144 0.0144 meta_PositivePercentage mean 0.0605 0 0.0832 0.1614 0.1237 0.1696 std. dev. 0.0017 0.0017 0.048 0.1466 0.1558 0.2059 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0101 0.0101 0.0101 0.0101 0.0101 0.0101 meta_J48.0001.ErrRate mean 12.2951 30.123 32.582 28.361 34.6553 32.2617 std. dev. 0.2049 1.8443 1.3746 12.9244 20.416 12.4685 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 1.2295 1.2295 1.2295 1.2295 1.2295 1.2295 meta_MinNominalAttDistinctValues mean 1.6 -1.6 -0.8 1.2253 0.6618 1.9711 std. dev. 0.2667 0.2667 1.3856 1.6864 1.5721 1.2821 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 1.6 1.6 1.6 1.6 1.6 1.6 meta_RandomTreeDepth2AUC_K=0 mean 0.8773 0.684 0.6442 0.7374 0.7634 0.7305 std. dev. 0.0245 0.0092 0.0217 0.0869 0.0705 0.0661 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0061 0.0061 0.0061 0.0061 0.0061 0.0061 meta_MeanMeansOfNumericAtts mean 0 0 0 0 4367.9066 0 std. dev. 484.6345 484.6345 484.6345 484.6345 20001.3844 484.6345 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 2907.8071 2907.8071 2907.8071 2907.8071 2907.8071 2907.8071 meta_J48.0001.kappa mean 0.8472 0.3969 0.5114 0.493 0.4914 0.5052 std. dev. 0.0076 0.0305 0.0932 0.2083 0.2219 0.0939 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_MeanNominalAttDistinctValues mean 4.0219 -0.8618 -0.1436 1.9631 2.7381 2.587 std. dev. 0.0479 0.0479 1.244 1.6248 3.0013 1.1793 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.2873 0.2873 0.2873 0.2873 0.2873 0.2873 meta_J48.00001.kappa mean 0.8454 0.4033 0.508 0.4883 0.4873 0.4792 std. dev. 0.0078 0.031 0.088 0.2076 0.232 0.0882 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0155 0.0155 0.0155 0.0155 0.0155 0.0155 meta_PercentageOfNominalAtts mean 0.9596 0 0.1983 0.695 0.5709 0.8023 std. dev. 0.0128 0.0043 0.3435 0.3969 0.4275 0.2812 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0256 0.0256 0.0256 0.0256 0.0256 0.0256 meta_REPTreeDepth1Kappa mean 0.3367 0.2372 0.1033 0.2513 0.3129 0.2652 std. dev. 0.0306 0.0077 0.0226 0.1864 0.3073 0.143 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_NegativePercentage mean 0.3236 0.5239 0.3775 0.4313 0.3719 0.4078 std. dev. 0.0154 0.0026 0.1201 0.252 0.262 0.2147 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0154 0.0154 0.0154 0.0154 0.0154 0.0154 meta_NumBinaryAtts mean 0 0 16.6667 12.6678 0 10.7572 std. dev. 11.1111 11.1111 28.8675 100.4695 11.1111 24.5241 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 66.6667 66.6667 66.6667 66.6667 66.6667 66.6667 meta_NaiveBayesDdm.warnings mean 0 0 3.6667 2.0642 1.5117 2.6378 std. dev. 0.3056 0.3056 3.1754 3.4676 1.7207 4.7134 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 1.8333 1.8333 1.8333 1.8333 1.8333 1.8333 meta_MaxNominalAttDistinctValues mean 2.8 0 0.7 3.4153 7.4291 6.4328 std. dev. 0.4667 0.4667 1.2124 3.1447 9.9007 5.5439 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 2.8 2.8 2.8 2.8 2.8 2.8 meta_PercentageOfMissingValues mean 0 0 0 0 0.0004 0 std. dev. 0.0016 0.0016 0.0016 0.0016 0.002 0.0016 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0095 0.0095 0.0095 0.0095 0.0095 0.0095 meta_J48.001.AUC mean 0.9437 0.7268 0.8154 0.7772 0.7745 0.8006 std. dev. 0.0036 0.0253 0.0107 0.1219 0.0982 0.0467 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_J48.0001.AUC mean 0.9437 0.7195 0.7973 0.7734 0.7752 0.7985 std. dev. 0.0036 0.0181 0.0313 0.1209 0.0978 0.0468 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_NBKappa mean 0.9733 0.7815 0.373 0.612 0.6722 0.6475 std. dev. 0.0071 0.0024 0.0118 0.2179 0.2369 0.16 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0142 0.0142 0.0142 0.0142 0.0142 0.0142 meta_REPTreeDepth1AUC mean 0.7888 0.6274 0.5925 0.677 0.7048 0.6914 std. dev. 0.0037 0.0037 0.0061 0.0828 0.1248 0.0493 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 meta_NaiveBayesAdwin.changes mean 2.8125 0 0.2813 0.9017 2.232 2.0082 std. dev. 1.6875 0.1875 0.4871 1.6079 3.4502 2.0721 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 1.125 1.125 1.125 1.125 1.125 1.125 meta_REPTreeDepth3ErrRate mean 21.4 33.0727 52.5273 33.9353 41.1807 35.3117 std. dev. 3.2424 0.6485 8.9152 16.8652 26.6853 14.695 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 1.297 1.297 1.297 1.297 1.297 1.297 meta_DecisionStumpErrRate mean 50.7682 39.6409 57.0273 46.7351 50.6075 47.8141 std. dev. 2.0864 0.6955 9.6365 25.5828 31.9318 23.4646 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 1.3909 1.3909 1.3909 1.3909 1.3909 1.3909 meta_MeanStdDevOfNumericAtts mean 0 0 0 16.5177 2460.9476 0 std. dev. 273.0507 273.0507 273.0507 273.0507 11269.0958 273.0507 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 1638.3044 1638.3044 1638.3044 1638.3044 1638.3044 1638.3044 meta_Dimensionality mean 0.0356 0 0.0178 0.0372 0.0243 0.0497 std. dev. 0.0059 0.0059 0.0309 0.0996 0.031 0.0224 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0356 0.0356 0.0356 0.0356 0.0356 0.0356 meta_REPTreeDepth2AUC mean 0.9045 0.6446 0.6339 0.7499 0.7552 0.7627 std. dev. 0.0142 0.0036 0.0174 0.093 0.094 0.0856 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 meta_StdvNominalAttDistinctValues mean 0.3308 -0.9924 -0.7443 0.2506 1.7594 0.835 std. dev. 0.0551 0.0551 0.4297 0.9628 3.082 1.2026 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.3308 0.3308 0.3308 0.3308 0.3308 0.3308 meta_HoeffdingAdwin.changes mean 2.3333 0 0.2917 0.805 1.9992 1.9923 std. dev. 1.1667 0.1944 0.5052 1.4993 3.0624 2.3476 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 1.1667 1.1667 1.1667 1.1667 1.1667 1.1667 meta_MeanSkewnessOfNumericAtts mean 0.0353 0 0 0.1818 0.077 0.1967 std. dev. 0.0353 0.0118 0.1221 0.4507 0.1995 0.4537 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0705 0.0705 0.0705 0.0705 0.0705 0.0705 meta_IncompleteInstanceCount mean 0 0 0 0 3.5505 0 std. dev. 13 13 13 13 16.2583 13 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 78 78 78 78 78 78 meta_DefaultAccuracy mean 0.3236 0.5239 0.3775 0.4313 0.3719 0.4078 std. dev. 0.0154 0.0026 0.1201 0.252 0.262 0.2147 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0154 0.0154 0.0154 0.0154 0.0154 0.0154 meta_REPTreeDepth1ErrRate mean 50.804 37.5508 59.2714 46.3469 49.2682 47.3274 std. dev. 2.2089 0.7363 11.2811 24.7739 32.7613 22.191 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 1.4726 1.4726 1.4726 1.4726 1.4726 1.4726 meta_J48.001.kappa mean 0.8396 0.4198 0.5572 0.5036 0.4935 0.52 std. dev. 0.0025 0.0382 0.0333 0.2094 0.2195 0.101 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_NumAttributes mean 35.6429 0 17.8214 37.2495 24.2858 49.6616 std. dev. 5.9405 5.9405 30.8676 99.6375 31.0309 22.3516 weight sum 0.9994 0.9994 1.9988 49.5619 10.9777 6.4629 precision 35.6429 35.6429 35.6429 35.6429 35.6429 35.6429 Weight: 0.12 Naive Bayes Classifier Class Attribute moa.NaiveBayes(1) moa.SPegasos(1) moa.LeveragingBag_kNN(1) moa.LeveragingBag_HoeffdingTree(1) moa.OzaBag_HoeffdingTree(1) moa.OzaBoost_HoeffdingTree(1) (0.03) (0.03) (0.04) (0.67) (0.15) (0.09) ====================================================================================================================================================================================================================================================== openml_task_id mean 1166.6 184.2 184.2 738.2992 1037.602 478.945 std. dev. 982.4 5.1167 5.1167 895.2238 986.6963 718.8911 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 30.7 30.7 30.7 30.7 30.7 30.7 meta_REPTreeDepth2ErrRate mean 28.5719 36.2375 56.4469 40.1205 44.5843 40.8216 std. dev. 3.4844 0.2323 10.9078 20.46 29.5283 17.8651 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 1.3938 1.3938 1.3938 1.3938 1.3938 1.3938 meta_J48.00001.ErrRate mean 11.8903 30.0387 33.4806 28.9047 34.3466 33.3446 std. dev. 0.6258 1.2516 1.6259 13.1092 20.2815 12.0576 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 1.2516 1.2516 1.2516 1.2516 1.2516 1.2516 meta_NBErrRate mean 1.6476 10.9841 45.3095 22.8907 22.0334 22.1786 std. dev. 0.5492 0.1831 5.2892 14.5914 21.5012 9.7993 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 1.0984 1.0984 1.0984 1.0984 1.0984 1.0984 meta_MeanMutualInformation mean 0.3811 -0.9988 -0.7491 -0.1335 -0.2376 -0.0147 std. dev. 0.0131 0.0044 0.4325 0.4762 0.5066 0.3083 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0263 0.0263 0.0263 0.0263 0.0263 0.0263 meta_NBAUC mean 0.9981 0.933 0.7594 0.8877 0.9169 0.9111 std. dev. 0.0012 0.0012 0.0051 0.1078 0.0752 0.0709 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_DecisionStumpKappa mean 0.3385 0.221 0.1554 0.2589 0.3169 0.2487 std. dev. 0.0207 0.0138 0.0383 0.1878 0.2636 0.1483 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0138 0.0138 0.0138 0.0138 0.0138 0.0138 meta_HoeffdingDDM.warnings mean 0 0 3.025 0.9923 1.3821 1.455 std. dev. 0.1833 0.1833 1.4289 2.1716 2.311 2.3097 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 1.1 1.1 1.1 1.1 1.1 1.1 meta_NoiseToSignalRatio mean 0 0 -47.2148 -15.0719 9.8676 -25.3113 std. dev. 3.4974 3.4974 81.7785 114.8997 15.0355 81.4304 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 20.9844 20.9844 20.9844 20.9844 20.9844 20.9844 meta_RandomTreeDepth3AUC_K=0 mean 0.9198 0.7169 0.6989 0.7781 0.7864 0.7542 std. dev. 0.0164 0.0098 0.0255 0.0861 0.0786 0.0792 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0065 0.0065 0.0065 0.0065 0.0065 0.0065 meta_PercentageOfNumericAtts mean 0.0183 0.9139 0.7311 0.253 0.3645 0.1748 std. dev. 0.0183 0.0061 0.3166 0.3857 0.4487 0.2868 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0366 0.0366 0.0366 0.0366 0.0366 0.0366 meta_EquivalentNumberOfAtts mean 11.1553 0 -47.4099 14.6486 13.1496 -18.504 std. dev. 1.8592 1.8592 82.1164 48.7811 18.0154 85.4949 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 11.1553 11.1553 11.1553 11.1553 11.1553 11.1553 meta_HoeffdingDDM.changes mean 0 0 0.625 0.0939 0 0.1979 std. dev. 0.2083 0.2083 1.0825 0.586 0.2083 0.4563 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 1.25 1.25 1.25 1.25 1.25 1.25 meta_ClassEntropy mean 2.3931 -0.9971 1.396 1.6772 2.1858 1.2068 std. dev. 0.0166 0.0166 1.3817 1.3094 1.3365 1.7257 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0997 0.0997 0.0997 0.0997 0.0997 0.0997 meta_NaiveBayesDdm.changes mean 0 0 0.6667 0.2003 0 0.4222 std. dev. 0.2222 0.2222 1.1547 1.0779 0.2222 0.9735 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 1.3333 1.3333 1.3333 1.3333 1.3333 1.3333 meta_NumMissingValues mean 0 0 0 0 6.2544 0 std. dev. 23.6667 23.6667 23.6667 23.6667 29.1377 23.6667 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 142 142 142 142 142 142 meta_NumNominalAtts mean 31.25 0 7.8125 30.2143 4.2489 40.6459 std. dev. 5.2083 5.2083 13.5316 96.28 10.711 22.8042 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 31.25 31.25 31.25 31.25 31.25 31.25 meta_REPTreeDepth3AUC mean 0.9366 0.6908 0.6784 0.7894 0.8069 0.8141 std. dev. 0.0107 0.0071 0.0332 0.1013 0.0914 0.0694 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 meta_MeanAttributeEntropy mean 1.269 -0.9518 -0.9518 0.1496 0.215 0.3166 std. dev. 0.0176 0.0176 0.0176 1.0409 1.0788 1.0347 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.1058 0.1058 0.1058 0.1058 0.1058 0.1058 meta_MeanKurtosisOfNumericAtts mean -0.4081 -1.2244 0.2041 0.3023 0.073 0.151 std. dev. 0.4081 0.068 0.3535 1.5577 0.7624 0.7895 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.4081 0.4081 0.4081 0.4081 0.4081 0.4081 meta_REPTreeDepth3Kappa mean 0.7264 0.338 0.2265 0.448 0.4467 0.4666 std. dev. 0.036 0.0072 0.0412 0.1788 0.2369 0.14 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0144 0.0144 0.0144 0.0144 0.0144 0.0144 meta_J48.001.ErrRate mean 12.1078 29.4047 31.4227 27.9545 33.904 31.7463 std. dev. 0.5766 1.7297 2.8684 12.5567 20.0181 12.7421 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 1.1531 1.1531 1.1531 1.1531 1.1531 1.1531 meta_NumNumericAtts mean 0 8.4444 8.4444 5.0353 18.4319 10.4626 std. dev. 0.7037 0.7037 0.7037 10.6271 27.1681 21.3598 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 4.2222 4.2222 4.2222 4.2222 4.2222 4.2222 meta_ClassCount mean 5.3333 5.3333 6 6.2939 8.5979 7.7 std. dev. 0.4444 0.4444 1.1547 4.2183 6.4256 3.5554 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 2.6667 2.6667 2.6667 2.6667 2.6667 2.6667 meta_J48.00001.AUC mean 0.947 0.7194 0.7965 0.7756 0.774 0.7873 std. dev. 0.0073 0.0147 0.0287 0.1174 0.1017 0.0485 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 meta_PercentageOfBinaryAtts mean 0.0416 0 0.1975 0.2658 0.1222 0.252 std. dev. 0.0069 0.0069 0.3421 0.3263 0.0984 0.2553 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0416 0.0416 0.0416 0.0416 0.0416 0.0416 meta_DecisionStumpAUC mean 0.7803 0.6172 0.5933 0.6792 0.7169 0.6807 std. dev. 0.0064 0.0032 0.0199 0.0684 0.0791 0.0363 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0064 0.0064 0.0064 0.0064 0.0064 0.0064 meta_RandomTreeDepth1AUC_K=0 mean 0.736 0.6179 0.5785 0.6664 0.7014 0.6689 std. dev. 0.0714 0.0074 0.0113 0.0693 0.0768 0.0603 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0049 0.0049 0.0049 0.0049 0.0049 0.0049 meta_REPTreeDepth2Kappa mean 0.6257 0.2661 0.1402 0.3546 0.3902 0.3571 std. dev. 0.0503 0.0072 0.0213 0.1637 0.2537 0.1359 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0144 0.0144 0.0144 0.0144 0.0144 0.0144 meta_PositivePercentage mean 0.0605 0 0.0832 0.1605 0.1197 0.1673 std. dev. 0.0017 0.0017 0.048 0.1453 0.1548 0.2048 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0101 0.0101 0.0101 0.0101 0.0101 0.0101 meta_J48.0001.ErrRate mean 12.2951 30.123 32.582 28.5234 34.1701 32.5679 std. dev. 0.2049 1.8443 1.3746 12.7953 20.2571 12.5614 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 1.2295 1.2295 1.2295 1.2295 1.2295 1.2295 meta_MinNominalAttDistinctValues mean 1.6 -1.6 -0.8 1.2213 0.6922 1.9341 std. dev. 0.2667 0.2667 1.3856 1.69 1.5554 1.3162 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 1.6 1.6 1.6 1.6 1.6 1.6 meta_RandomTreeDepth2AUC_K=0 mean 0.8773 0.684 0.6442 0.7377 0.7647 0.7303 std. dev. 0.0245 0.0092 0.0217 0.0851 0.0697 0.0655 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0061 0.0061 0.0061 0.0061 0.0061 0.0061 meta_MeanMeansOfNumericAtts mean 0 0 0 0 4226.4406 0 std. dev. 484.6345 484.6345 484.6345 484.6345 19690.0088 484.6345 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 2907.8071 2907.8071 2907.8071 2907.8071 2907.8071 2907.8071 meta_J48.0001.kappa mean 0.8472 0.3969 0.5114 0.4951 0.4938 0.5031 std. dev. 0.0076 0.0305 0.0932 0.2025 0.2187 0.0956 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_MeanNominalAttDistinctValues mean 4.0219 -0.8618 -0.1436 1.9519 2.7331 2.5708 std. dev. 0.0479 0.0479 1.244 1.6225 2.9524 1.2263 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.2873 0.2873 0.2873 0.2873 0.2873 0.2873 meta_J48.00001.kappa mean 0.8454 0.4033 0.508 0.4902 0.4896 0.4776 std. dev. 0.0078 0.031 0.088 0.2019 0.2286 0.0895 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0155 0.0155 0.0155 0.0155 0.0155 0.0155 meta_PercentageOfNominalAtts mean 0.9596 0 0.1983 0.6954 0.5822 0.7964 std. dev. 0.0128 0.0043 0.3435 0.3982 0.4251 0.2896 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0256 0.0256 0.0256 0.0256 0.0256 0.0256 meta_REPTreeDepth1Kappa mean 0.3367 0.2372 0.1033 0.2515 0.3201 0.2632 std. dev. 0.0306 0.0077 0.0226 0.1847 0.3049 0.1427 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_NegativePercentage mean 0.3236 0.5239 0.3775 0.4279 0.3803 0.404 std. dev. 0.0154 0.0026 0.1201 0.2513 0.2618 0.2148 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0154 0.0154 0.0154 0.0154 0.0154 0.0154 meta_NumBinaryAtts mean 0 0 16.6667 11.7996 0 10.5552 std. dev. 11.1111 11.1111 28.8675 97.0182 11.1111 24.3366 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 66.6667 66.6667 66.6667 66.6667 66.6667 66.6667 meta_NaiveBayesDdm.warnings mean 0 0 3.6667 2.0329 1.5221 2.5882 std. dev. 0.3056 0.3056 3.1754 3.4165 1.6935 4.6826 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 1.8333 1.8333 1.8333 1.8333 1.8333 1.8333 meta_MaxNominalAttDistinctValues mean 2.8 0 0.7 3.396 7.2792 6.5223 std. dev. 0.4667 0.4667 1.2124 3.1478 9.7735 5.7386 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 2.8 2.8 2.8 2.8 2.8 2.8 meta_PercentageOfMissingValues mean 0 0 0 0 0.0004 0 std. dev. 0.0016 0.0016 0.0016 0.0016 0.0019 0.0016 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0095 0.0095 0.0095 0.0095 0.0095 0.0095 meta_J48.001.AUC mean 0.9437 0.7268 0.8154 0.7791 0.7747 0.7999 std. dev. 0.0036 0.0253 0.0107 0.1187 0.0966 0.0467 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_J48.0001.AUC mean 0.9437 0.7195 0.7973 0.7752 0.7754 0.7978 std. dev. 0.0036 0.0181 0.0313 0.1177 0.0963 0.0471 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_NBKappa mean 0.9733 0.7815 0.373 0.6156 0.6735 0.6477 std. dev. 0.0071 0.0024 0.0118 0.2152 0.2331 0.1593 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0142 0.0142 0.0142 0.0142 0.0142 0.0142 meta_REPTreeDepth1AUC mean 0.7888 0.6274 0.5925 0.6777 0.7065 0.6913 std. dev. 0.0037 0.0037 0.0061 0.0809 0.1231 0.0489 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 meta_NaiveBayesAdwin.changes mean 2.8125 0 0.2813 0.902 2.1597 2.0127 std. dev. 1.6875 0.1875 0.4871 1.6059 3.4168 2.0758 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 1.125 1.125 1.125 1.125 1.125 1.125 meta_REPTreeDepth3ErrRate mean 21.4 33.0727 52.5273 34.1874 40.4771 35.635 std. dev. 3.2424 0.6485 8.9152 16.8696 26.5299 14.7452 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 1.297 1.297 1.297 1.297 1.297 1.297 meta_DecisionStumpErrRate mean 50.7682 39.6409 57.0273 47.0203 49.6442 48.2091 std. dev. 2.0864 0.6955 9.6365 25.5662 31.8488 23.4739 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 1.3909 1.3909 1.3909 1.3909 1.3909 1.3909 meta_MeanStdDevOfNumericAtts mean 0 0 0 15.3857 2381.2434 0 std. dev. 273.0507 273.0507 273.0507 273.0507 11093.6618 273.0507 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 1638.3044 1638.3044 1638.3044 1638.3044 1638.3044 1638.3044 meta_Dimensionality mean 0.0356 0 0.0178 0.0366 0.0235 0.0497 std. dev. 0.0059 0.0059 0.0309 0.0964 0.0308 0.0223 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0356 0.0356 0.0356 0.0356 0.0356 0.0356 meta_REPTreeDepth2AUC mean 0.9045 0.6446 0.6339 0.7506 0.7552 0.7626 std. dev. 0.0142 0.0036 0.0174 0.0914 0.0924 0.0852 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 meta_StdvNominalAttDistinctValues mean 0.3308 -0.9924 -0.7443 0.2409 1.7239 0.8473 std. dev. 0.0551 0.0551 0.4297 0.9572 3.0379 1.242 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.3308 0.3308 0.3308 0.3308 0.3308 0.3308 meta_HoeffdingAdwin.changes mean 2.3333 0 0.2917 0.8062 1.9344 2.0206 std. dev. 1.1667 0.1944 0.5052 1.492 3.0331 2.3562 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 1.1667 1.1667 1.1667 1.1667 1.1667 1.1667 meta_MeanSkewnessOfNumericAtts mean 0.0353 0 0 0.1707 0.0745 0.1977 std. dev. 0.0353 0.0118 0.1221 0.4379 0.1967 0.4507 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0705 0.0705 0.0705 0.0705 0.0705 0.0705 meta_IncompleteInstanceCount mean 0 0 0 0 3.4355 0 std. dev. 13 13 13 13 16.0052 13 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 78 78 78 78 78 78 meta_DefaultAccuracy mean 0.3236 0.5239 0.3775 0.4279 0.3803 0.404 std. dev. 0.0154 0.0026 0.1201 0.2513 0.2618 0.2148 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0154 0.0154 0.0154 0.0154 0.0154 0.0154 meta_REPTreeDepth1ErrRate mean 50.804 37.5508 59.2714 46.6824 48.3402 47.7383 std. dev. 2.2089 0.7363 11.2811 24.8179 32.6231 22.2402 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 1.4726 1.4726 1.4726 1.4726 1.4726 1.4726 meta_J48.001.kappa mean 0.8396 0.4198 0.5572 0.5059 0.4958 0.5178 std. dev. 0.0025 0.0382 0.0333 0.2035 0.2163 0.1024 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_NumAttributes mean 35.6429 0 17.8214 36.5925 23.4993 49.733 std. dev. 5.9405 5.9405 30.8676 96.3627 30.8256 22.281 weight sum 0.9444 0.9444 1.8887 50.2784 10.7203 6.2238 precision 35.6429 35.6429 35.6429 35.6429 35.6429 35.6429 Weight: 0.24 Naive Bayes Classifier Class Attribute moa.NaiveBayes(1) moa.SPegasos(1) moa.LeveragingBag_kNN(1) moa.LeveragingBag_HoeffdingTree(1) moa.OzaBag_HoeffdingTree(1) moa.OzaBoost_HoeffdingTree(1) (0.02) (0.02) (0.03) (0.68) (0.15) (0.09) ====================================================================================================================================================================================================================================================== openml_task_id mean 1166.6 184.2 184.2 710.4474 974.2473 507.454 std. dev. 982.4 5.1167 5.1167 882.0473 975.3702 745.3547 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 30.7 30.7 30.7 30.7 30.7 30.7 meta_REPTreeDepth2ErrRate mean 28.5719 36.2375 56.4469 40.5777 42.8265 41.7636 std. dev. 3.4844 0.2323 10.9078 20.5018 29.0813 18.0502 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 1.3938 1.3938 1.3938 1.3938 1.3938 1.3938 meta_J48.00001.ErrRate mean 11.8903 30.0387 33.4806 29.2601 33.2835 34.0041 std. dev. 0.6258 1.2516 1.6259 12.9624 19.872 12.212 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 1.2516 1.2516 1.2516 1.2516 1.2516 1.2516 meta_NBErrRate mean 1.6476 10.9841 45.3095 22.87 21.3762 22.4377 std. dev. 0.5492 0.1831 5.2892 14.6489 20.8175 9.7708 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 1.0984 1.0984 1.0984 1.0984 1.0984 1.0984 meta_MeanMutualInformation mean 0.3811 -0.9988 -0.7491 -0.1449 -0.2141 -0.0339 std. dev. 0.0131 0.0044 0.4325 0.4806 0.4945 0.3351 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0263 0.0263 0.0263 0.0263 0.0263 0.0263 meta_NBAUC mean 0.9981 0.933 0.7594 0.8905 0.9176 0.912 std. dev. 0.0012 0.0012 0.0051 0.1052 0.0724 0.07 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_DecisionStumpKappa mean 0.3385 0.221 0.1554 0.2605 0.3334 0.2441 std. dev. 0.0207 0.0138 0.0383 0.1849 0.2602 0.1469 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0138 0.0138 0.0138 0.0138 0.0138 0.0138 meta_HoeffdingDDM.warnings mean 0 0 3.025 0.904 1.4428 1.3903 std. dev. 0.1833 0.1833 1.4289 2.0574 2.2339 2.2776 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 1.1 1.1 1.1 1.1 1.1 1.1 meta_NoiseToSignalRatio mean 0 0 -47.2148 -12.5022 10.6929 -23.7204 std. dev. 3.4974 3.4974 81.7785 107.622 14.7572 79.9724 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 20.9844 20.9844 20.9844 20.9844 20.9844 20.9844 meta_RandomTreeDepth3AUC_K=0 mean 0.9198 0.7169 0.6989 0.7781 0.7898 0.7535 std. dev. 0.0164 0.0098 0.0255 0.0826 0.0766 0.0778 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0065 0.0065 0.0065 0.0065 0.0065 0.0065 meta_PercentageOfNumericAtts mean 0.0183 0.9139 0.7311 0.2559 0.3375 0.189 std. dev. 0.0183 0.0061 0.3166 0.3914 0.4422 0.3062 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0366 0.0366 0.0366 0.0366 0.0366 0.0366 meta_EquivalentNumberOfAtts mean 11.1553 0 -47.4099 13.9492 13.0016 -17.1862 std. dev. 1.8592 1.8592 82.1164 45.7806 17.3417 83.8301 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 11.1553 11.1553 11.1553 11.1553 11.1553 11.1553 meta_HoeffdingDDM.changes mean 0 0 0.625 0.0819 0 0.1891 std. dev. 0.2083 0.2083 1.0825 0.5481 0.2083 0.4479 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 1.25 1.25 1.25 1.25 1.25 1.25 meta_ClassEntropy mean 2.3931 -0.9971 1.396 1.6713 2.0975 1.2773 std. dev. 0.0166 0.0166 1.3817 1.306 1.3231 1.7215 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0997 0.0997 0.0997 0.0997 0.0997 0.0997 meta_NaiveBayesDdm.changes mean 0 0 0.6667 0.1747 0 0.4034 std. dev. 0.2222 0.2222 1.1547 1.0089 0.2222 0.9556 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 1.3333 1.3333 1.3333 1.3333 1.3333 1.3333 meta_NumMissingValues mean 0 0 0 0 5.7901 0 std. dev. 23.6667 23.6667 23.6667 23.6667 28.0832 23.6667 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 142 142 142 142 142 142 meta_NumNominalAtts mean 31.25 0 7.8125 29.3112 3.9335 39.5341 std. dev. 5.2083 5.2083 13.5316 90.2405 10.3657 23.1161 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 31.25 31.25 31.25 31.25 31.25 31.25 meta_REPTreeDepth3AUC mean 0.9366 0.6908 0.6784 0.79 0.8109 0.8129 std. dev. 0.0107 0.0071 0.0332 0.0977 0.0891 0.0699 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 meta_MeanAttributeEntropy mean 1.269 -0.9518 -0.9518 0.1308 0.2618 0.3142 std. dev. 0.0176 0.0176 0.0176 1.0384 1.0511 1.0435 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.1058 0.1058 0.1058 0.1058 0.1058 0.1058 meta_MeanKurtosisOfNumericAtts mean -0.4081 -1.2244 0.2041 0.2483 0.0676 0.1352 std. dev. 0.4081 0.068 0.3535 1.4647 0.7338 0.7764 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.4081 0.4081 0.4081 0.4081 0.4081 0.4081 meta_REPTreeDepth3Kappa mean 0.7264 0.338 0.2265 0.4472 0.4573 0.4621 std. dev. 0.036 0.0072 0.0412 0.1742 0.231 0.1394 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0144 0.0144 0.0144 0.0144 0.0144 0.0144 meta_J48.001.ErrRate mean 12.1078 29.4047 31.4227 28.254 32.8423 32.462 std. dev. 0.5766 1.7297 2.8684 12.3563 19.6222 12.9185 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 1.1531 1.1531 1.1531 1.1531 1.1531 1.1531 meta_NumNumericAtts mean 0 8.4444 8.4444 5.0001 17.0636 11.6862 std. dev. 0.7037 0.7037 0.7037 10.4351 26.5831 23.0722 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 4.2222 4.2222 4.2222 4.2222 4.2222 4.2222 meta_ClassCount mean 5.3333 5.3333 6 6.216 8.3556 7.7726 std. dev. 0.4444 0.4444 1.1547 4.0862 6.2414 3.503 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 2.6667 2.6667 2.6667 2.6667 2.6667 2.6667 meta_J48.00001.AUC mean 0.947 0.7194 0.7965 0.7772 0.7743 0.7864 std. dev. 0.0073 0.0147 0.0287 0.1109 0.0979 0.0487 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 meta_PercentageOfBinaryAtts mean 0.0416 0 0.1975 0.2527 0.1286 0.2445 std. dev. 0.0069 0.0069 0.3421 0.3198 0.0973 0.2526 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0416 0.0416 0.0416 0.0416 0.0416 0.0416 meta_DecisionStumpAUC mean 0.7803 0.6172 0.5933 0.6778 0.7197 0.681 std. dev. 0.0064 0.0032 0.0199 0.0665 0.0768 0.0356 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0064 0.0064 0.0064 0.0064 0.0064 0.0064 meta_RandomTreeDepth1AUC_K=0 mean 0.736 0.6179 0.5785 0.6654 0.7053 0.6685 std. dev. 0.0714 0.0074 0.0113 0.0671 0.0751 0.0591 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0049 0.0049 0.0049 0.0049 0.0049 0.0049 meta_REPTreeDepth2Kappa mean 0.6257 0.2661 0.1402 0.3526 0.4007 0.3524 std. dev. 0.0503 0.0072 0.0213 0.1598 0.247 0.1346 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0144 0.0144 0.0144 0.0144 0.0144 0.0144 meta_PositivePercentage mean 0.0605 0 0.0832 0.1607 0.1108 0.1619 std. dev. 0.0017 0.0017 0.048 0.1433 0.1522 0.202 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0101 0.0101 0.0101 0.0101 0.0101 0.0101 meta_J48.0001.ErrRate mean 12.2951 30.123 32.582 28.8625 33.0938 33.2788 std. dev. 0.2049 1.8443 1.3746 12.65 19.8578 12.7463 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 1.2295 1.2295 1.2295 1.2295 1.2295 1.2295 meta_MinNominalAttDistinctValues mean 1.6 -1.6 -0.8 1.2055 0.7596 1.8482 std. dev. 0.2667 0.2667 1.3856 1.7132 1.5153 1.3886 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 1.6 1.6 1.6 1.6 1.6 1.6 meta_RandomTreeDepth2AUC_K=0 mean 0.8773 0.684 0.6442 0.7374 0.7676 0.7297 std. dev. 0.0245 0.0092 0.0217 0.0819 0.0679 0.0641 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0061 0.0061 0.0061 0.0061 0.0061 0.0061 meta_MeanMeansOfNumericAtts mean 0 0 0 0 3912.6786 0 std. dev. 484.6345 484.6345 484.6345 484.6345 18977.4163 484.6345 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 2907.8071 2907.8071 2907.8071 2907.8071 2907.8071 2907.8071 meta_J48.0001.kappa mean 0.8472 0.3969 0.5114 0.4965 0.4991 0.4984 std. dev. 0.0076 0.0305 0.0932 0.1914 0.2112 0.0994 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_MeanNominalAttDistinctValues mean 4.0219 -0.8618 -0.1436 1.925 2.7222 2.5331 std. dev. 0.0479 0.0479 1.244 1.6333 2.841 1.3283 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.2873 0.2873 0.2873 0.2873 0.2873 0.2873 meta_J48.00001.kappa mean 0.8454 0.4033 0.508 0.4913 0.4947 0.4739 std. dev. 0.0078 0.031 0.088 0.1909 0.2207 0.0924 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0155 0.0155 0.0155 0.0155 0.0155 0.0155 meta_PercentageOfNominalAtts mean 0.9596 0 0.1983 0.6928 0.6074 0.7826 std. dev. 0.0128 0.0043 0.3435 0.4033 0.4186 0.3078 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0256 0.0256 0.0256 0.0256 0.0256 0.0256 meta_REPTreeDepth1Kappa mean 0.3367 0.2372 0.1033 0.2533 0.3361 0.2587 std. dev. 0.0306 0.0077 0.0226 0.1819 0.2987 0.1418 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_NegativePercentage mean 0.3236 0.5239 0.3775 0.4249 0.399 0.3953 std. dev. 0.0154 0.0026 0.1201 0.2494 0.2604 0.2149 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0154 0.0154 0.0154 0.0154 0.0154 0.0154 meta_NumBinaryAtts mean 0 0 16.6667 10.291 0 10.0862 std. dev. 11.1111 11.1111 28.8675 90.69 11.1111 23.889 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 66.6667 66.6667 66.6667 66.6667 66.6667 66.6667 meta_NaiveBayesDdm.warnings mean 0 0 3.6667 2.0109 1.5452 2.4732 std. dev. 0.3056 0.3056 3.1754 3.3338 1.6315 4.6084 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 1.8333 1.8333 1.8333 1.8333 1.8333 1.8333 meta_MaxNominalAttDistinctValues mean 2.8 0 0.7 3.3692 6.9467 6.7301 std. dev. 0.4667 0.4667 1.2124 3.1841 9.4767 6.1621 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 2.8 2.8 2.8 2.8 2.8 2.8 meta_PercentageOfMissingValues mean 0 0 0 0 0.0004 0 std. dev. 0.0016 0.0016 0.0016 0.0016 0.0019 0.0016 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0095 0.0095 0.0095 0.0095 0.0095 0.0095 meta_J48.001.AUC mean 0.9437 0.7268 0.8154 0.7811 0.7752 0.7983 std. dev. 0.0036 0.0253 0.0107 0.1123 0.093 0.0468 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_J48.0001.AUC mean 0.9437 0.7195 0.7973 0.7769 0.7758 0.7961 std. dev. 0.0036 0.0181 0.0313 0.1112 0.0926 0.0476 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_NBKappa mean 0.9733 0.7815 0.373 0.621 0.6762 0.6479 std. dev. 0.0071 0.0024 0.0118 0.2114 0.2245 0.1575 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0142 0.0142 0.0142 0.0142 0.0142 0.0142 meta_REPTreeDepth1AUC mean 0.7888 0.6274 0.5925 0.6782 0.7101 0.6911 std. dev. 0.0037 0.0037 0.0061 0.0776 0.1192 0.0478 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 meta_NaiveBayesAdwin.changes mean 2.8125 0 0.2813 0.9041 1.9994 2.0232 std. dev. 1.6875 0.1875 0.4871 1.6165 3.3359 2.0844 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 1.125 1.125 1.125 1.125 1.125 1.125 meta_REPTreeDepth3ErrRate mean 21.4 33.0727 52.5273 34.6307 38.9164 36.3856 std. dev. 3.2424 0.6485 8.9152 16.9553 26.1143 14.8338 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 1.297 1.297 1.297 1.297 1.297 1.297 meta_DecisionStumpErrRate mean 50.7682 39.6409 57.0273 47.2354 47.5076 49.1263 std. dev. 2.0864 0.6955 9.6365 25.4262 31.559 23.47 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 1.3909 1.3909 1.3909 1.3909 1.3909 1.3909 meta_MeanStdDevOfNumericAtts mean 0 0 0 13.4186 2204.4649 0 std. dev. 273.0507 273.0507 273.0507 273.0507 10692.176 273.0507 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 1638.3044 1638.3044 1638.3044 1638.3044 1638.3044 1638.3044 meta_Dimensionality mean 0.0356 0 0.0178 0.0355 0.0218 0.0499 std. dev. 0.0059 0.0059 0.0309 0.0904 0.0303 0.0221 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0356 0.0356 0.0356 0.0356 0.0356 0.0356 meta_REPTreeDepth2AUC mean 0.9045 0.6446 0.6339 0.7504 0.7552 0.7622 std. dev. 0.0142 0.0036 0.0174 0.0884 0.0889 0.0841 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 meta_StdvNominalAttDistinctValues mean 0.3308 -0.9924 -0.7443 0.2226 1.645 0.8758 std. dev. 0.0551 0.0551 0.4297 0.9543 2.9362 1.3285 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.3308 0.3308 0.3308 0.3308 0.3308 0.3308 meta_HoeffdingAdwin.changes mean 2.3333 0 0.2917 0.8075 1.7908 2.0864 std. dev. 1.1667 0.1944 0.5052 1.4905 2.9621 2.3749 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 1.1667 1.1667 1.1667 1.1667 1.1667 1.1667 meta_MeanSkewnessOfNumericAtts mean 0.0353 0 0 0.1493 0.069 0.1999 std. dev. 0.0353 0.0118 0.1221 0.4134 0.1902 0.4438 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0705 0.0705 0.0705 0.0705 0.0705 0.0705 meta_IncompleteInstanceCount mean 0 0 0 0 3.1805 0 std. dev. 13 13 13 13 15.426 13 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 78 78 78 78 78 78 meta_DefaultAccuracy mean 0.3236 0.5239 0.3775 0.4249 0.399 0.3953 std. dev. 0.0154 0.0026 0.1201 0.2494 0.2604 0.2149 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0154 0.0154 0.0154 0.0154 0.0154 0.0154 meta_REPTreeDepth1ErrRate mean 50.804 37.5508 59.2714 46.9578 46.282 48.6925 std. dev. 2.2089 0.7363 11.2811 24.795 32.2193 22.3247 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 1.4726 1.4726 1.4726 1.4726 1.4726 1.4726 meta_J48.001.kappa mean 0.8396 0.4198 0.5572 0.5078 0.5009 0.5128 std. dev. 0.0025 0.0382 0.0333 0.192 0.2089 0.1056 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_NumAttributes mean 35.6429 0 17.8214 35.4766 21.7547 49.8988 std. dev. 5.9405 5.9405 30.8676 90.4029 30.2923 22.1153 weight sum 0.8432 0.8432 1.6864 51.4725 10.3394 5.8154 precision 35.6429 35.6429 35.6429 35.6429 35.6429 35.6429 Weight: 0.16 Naive Bayes Classifier Class Attribute moa.NaiveBayes(1) moa.SPegasos(1) moa.LeveragingBag_kNN(1) moa.LeveragingBag_HoeffdingTree(1) moa.OzaBag_HoeffdingTree(1) moa.OzaBoost_HoeffdingTree(1) (0.02) (0.02) (0.03) (0.69) (0.14) (0.08) ====================================================================================================================================================================================================================================================== openml_task_id mean 1166.6 184.2 184.2 697.7594 929.3026 536.017 std. dev. 982.4 5.1167 5.1167 875.9005 964.7355 768.6986 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 30.7 30.7 30.7 30.7 30.7 30.7 meta_REPTreeDepth2ErrRate mean 28.5719 36.2375 56.4469 40.9915 41.5795 42.234 std. dev. 3.4844 0.2323 10.9078 20.5438 28.6947 18.2289 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 1.3938 1.3938 1.3938 1.3938 1.3938 1.3938 meta_J48.00001.ErrRate mean 11.8903 30.0387 33.4806 29.5464 32.5293 34.178 std. dev. 0.6258 1.2516 1.6259 12.8887 19.5413 12.1721 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 1.2516 1.2516 1.2516 1.2516 1.2516 1.2516 meta_NBErrRate mean 1.6476 10.9841 45.3095 22.9427 20.91 22.4099 std. dev. 0.5492 0.1831 5.2892 14.7119 20.3056 9.686 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 1.0984 1.0984 1.0984 1.0984 1.0984 1.0984 meta_MeanMutualInformation mean 0.3811 -0.9988 -0.7491 -0.1547 -0.1974 -0.051 std. dev. 0.0131 0.0044 0.4325 0.4851 0.485 0.3557 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0263 0.0263 0.0263 0.0263 0.0263 0.0263 meta_NBAUC mean 0.9981 0.933 0.7594 0.8917 0.9181 0.9132 std. dev. 0.0012 0.0012 0.0051 0.1038 0.0704 0.0699 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_DecisionStumpKappa mean 0.3385 0.221 0.1554 0.2596 0.3451 0.2415 std. dev. 0.0207 0.0138 0.0383 0.1823 0.2572 0.1469 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0138 0.0138 0.0138 0.0138 0.0138 0.0138 meta_HoeffdingDDM.warnings mean 0 0 3.025 0.8532 1.4859 1.3657 std. dev. 0.1833 0.1833 1.4289 1.9841 2.1765 2.2648 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 1.1 1.1 1.1 1.1 1.1 1.1 meta_NoiseToSignalRatio mean 0 0 -47.2148 -11.0906 11.2783 -23.2998 std. dev. 3.4974 3.4974 81.7785 102.9608 14.5282 79.322 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 20.9844 20.9844 20.9844 20.9844 20.9844 20.9844 meta_RandomTreeDepth3AUC_K=0 mean 0.9198 0.7169 0.6989 0.7774 0.7921 0.7539 std. dev. 0.0164 0.0098 0.0255 0.0805 0.075 0.0772 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0065 0.0065 0.0065 0.0065 0.0065 0.0065 meta_PercentageOfNumericAtts mean 0.0183 0.9139 0.7311 0.2606 0.3183 0.2031 std. dev. 0.0183 0.0061 0.3166 0.3965 0.4365 0.3212 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0366 0.0366 0.0366 0.0366 0.0366 0.0366 meta_EquivalentNumberOfAtts mean 11.1553 0 -47.4099 13.5069 12.8965 -16.8814 std. dev. 1.8592 1.8592 82.1164 43.8924 16.8466 83.1145 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 11.1553 11.1553 11.1553 11.1553 11.1553 11.1553 meta_HoeffdingDDM.changes mean 0 0 0.625 0.0747 0 0.1858 std. dev. 0.2083 0.2083 1.0825 0.524 0.2083 0.4446 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 1.25 1.25 1.25 1.25 1.25 1.25 meta_ClassEntropy mean 2.3931 -0.9971 1.396 1.6718 2.0349 1.313 std. dev. 0.0166 0.0166 1.3817 1.3072 1.31 1.7267 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0997 0.0997 0.0997 0.0997 0.0997 0.0997 meta_NaiveBayesDdm.changes mean 0 0 0.6667 0.1594 0 0.3963 std. dev. 0.2222 0.2222 1.1547 0.9648 0.2222 0.9485 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 1.3333 1.3333 1.3333 1.3333 1.3333 1.3333 meta_NumMissingValues mean 0 0 0 0 5.4607 0 std. dev. 23.6667 23.6667 23.6667 23.6667 27.3056 23.6667 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 142 142 142 142 142 142 meta_NumNominalAtts mean 31.25 0 7.8125 28.93 3.7097 38.8331 std. dev. 5.2083 5.2083 13.5316 86.3994 10.1077 23.4968 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 31.25 31.25 31.25 31.25 31.25 31.25 meta_REPTreeDepth3AUC mean 0.9366 0.6908 0.6784 0.7901 0.8138 0.8138 std. dev. 0.0107 0.0071 0.0332 0.0956 0.0873 0.0695 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 meta_MeanAttributeEntropy mean 1.269 -0.9518 -0.9518 0.1106 0.2951 0.2918 std. dev. 0.0176 0.0176 0.0176 1.0373 1.0297 1.0476 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.1058 0.1058 0.1058 0.1058 0.1058 0.1058 meta_MeanKurtosisOfNumericAtts mean -0.4081 -1.2244 0.2041 0.2181 0.0637 0.1256 std. dev. 0.4081 0.068 0.3535 1.4055 0.7128 0.7728 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.4081 0.4081 0.4081 0.4081 0.4081 0.4081 meta_REPTreeDepth3Kappa mean 0.7264 0.338 0.2265 0.4456 0.4649 0.4618 std. dev. 0.036 0.0072 0.0412 0.1715 0.2265 0.1382 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0144 0.0144 0.0144 0.0144 0.0144 0.0144 meta_J48.001.ErrRate mean 12.1078 29.4047 31.4227 28.5039 32.0892 32.6634 std. dev. 0.5766 1.7297 2.8684 12.2472 19.301 12.8909 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 1.1531 1.1531 1.1531 1.1531 1.1531 1.1531 meta_NumNumericAtts mean 0 8.4444 8.4444 5.1489 16.0928 12.8266 std. dev. 0.7037 0.7037 0.7037 10.7076 26.1167 24.3912 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 4.2222 4.2222 4.2222 4.2222 4.2222 4.2222 meta_ClassCount mean 5.3333 5.3333 6 6.1798 8.1836 7.8239 std. dev. 0.4444 0.4444 1.1547 4.0072 6.1016 3.4928 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 2.6667 2.6667 2.6667 2.6667 2.6667 2.6667 meta_J48.00001.AUC mean 0.947 0.7194 0.7965 0.778 0.7746 0.7869 std. dev. 0.0073 0.0147 0.0287 0.107 0.0951 0.0484 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 meta_PercentageOfBinaryAtts mean 0.0416 0 0.1975 0.2451 0.1331 0.2401 std. dev. 0.0069 0.0069 0.3421 0.3161 0.0963 0.2524 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0416 0.0416 0.0416 0.0416 0.0416 0.0416 meta_DecisionStumpAUC mean 0.7803 0.6172 0.5933 0.6762 0.7217 0.6813 std. dev. 0.0064 0.0032 0.0199 0.0651 0.075 0.0354 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0064 0.0064 0.0064 0.0064 0.0064 0.0064 meta_RandomTreeDepth1AUC_K=0 mean 0.736 0.6179 0.5785 0.664 0.708 0.6681 std. dev. 0.0714 0.0074 0.0113 0.0655 0.0738 0.0586 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0049 0.0049 0.0049 0.0049 0.0049 0.0049 meta_REPTreeDepth2Kappa mean 0.6257 0.2661 0.1402 0.3501 0.4082 0.3505 std. dev. 0.0503 0.0072 0.0213 0.1572 0.2418 0.1342 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0144 0.0144 0.0144 0.0144 0.0144 0.0144 meta_PositivePercentage mean 0.0605 0 0.0832 0.1606 0.1045 0.1606 std. dev. 0.0017 0.0017 0.048 0.1412 0.1501 0.2004 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0101 0.0101 0.0101 0.0101 0.0101 0.0101 meta_J48.0001.ErrRate mean 12.2951 30.123 32.582 29.1366 32.3302 33.4735 std. dev. 0.2049 1.8443 1.3746 12.5774 19.5337 12.7156 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 1.2295 1.2295 1.2295 1.2295 1.2295 1.2295 meta_MinNominalAttDistinctValues mean 1.6 -1.6 -0.8 1.1837 0.8074 1.787 std. dev. 0.2667 0.2667 1.3856 1.731 1.4844 1.4495 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 1.6 1.6 1.6 1.6 1.6 1.6 meta_RandomTreeDepth2AUC_K=0 mean 0.8773 0.684 0.6442 0.7364 0.7697 0.7297 std. dev. 0.0245 0.0092 0.0217 0.0796 0.0664 0.0636 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0061 0.0061 0.0061 0.0061 0.0061 0.0061 meta_MeanMeansOfNumericAtts mean 0 0 0 0 3690.0918 0 std. dev. 484.6345 484.6345 484.6345 484.6345 18451.9837 484.6345 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 2907.8071 2907.8071 2907.8071 2907.8071 2907.8071 2907.8071 meta_J48.0001.kappa mean 0.8472 0.3969 0.5114 0.4968 0.5028 0.4988 std. dev. 0.0076 0.0305 0.0932 0.1844 0.2057 0.0985 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_MeanNominalAttDistinctValues mean 4.0219 -0.8618 -0.1436 1.8979 2.7144 2.4729 std. dev. 0.0479 0.0479 1.244 1.6453 2.7592 1.3907 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.2873 0.2873 0.2873 0.2873 0.2873 0.2873 meta_J48.00001.kappa mean 0.8454 0.4033 0.508 0.4915 0.4984 0.4746 std. dev. 0.0078 0.031 0.088 0.1841 0.2148 0.0917 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0155 0.0155 0.0155 0.0155 0.0155 0.0155 meta_PercentageOfNominalAtts mean 0.9596 0 0.1983 0.6888 0.6252 0.7687 std. dev. 0.0128 0.0043 0.3435 0.4079 0.4129 0.3221 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0256 0.0256 0.0256 0.0256 0.0256 0.0256 meta_REPTreeDepth1Kappa mean 0.3367 0.2372 0.1033 0.2523 0.3474 0.2557 std. dev. 0.0306 0.0077 0.0226 0.1791 0.2938 0.1422 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_NegativePercentage mean 0.3236 0.5239 0.3775 0.4222 0.4122 0.3902 std. dev. 0.0154 0.0026 0.1201 0.2488 0.2586 0.2163 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0154 0.0154 0.0154 0.0154 0.0154 0.0154 meta_NumBinaryAtts mean 0 0 16.6667 9.387 0 9.9074 std. dev. 11.1111 11.1111 28.8675 86.6641 11.1111 23.7136 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 66.6667 66.6667 66.6667 66.6667 66.6667 66.6667 meta_NaiveBayesDdm.warnings mean 0 0 3.6667 2.0106 1.5616 2.4294 std. dev. 0.3056 0.3056 3.1754 3.2866 1.5858 4.579 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 1.8333 1.8333 1.8333 1.8333 1.8333 1.8333 meta_MaxNominalAttDistinctValues mean 2.8 0 0.7 3.3534 6.7108 6.6108 std. dev. 0.4667 0.4667 1.2124 3.2193 9.2532 6.1715 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 2.8 2.8 2.8 2.8 2.8 2.8 meta_PercentageOfMissingValues mean 0 0 0 0 0.0004 0 std. dev. 0.0016 0.0016 0.0016 0.0016 0.0018 0.0016 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0095 0.0095 0.0095 0.0095 0.0095 0.0095 meta_J48.001.AUC mean 0.9437 0.7268 0.8154 0.7818 0.7755 0.7982 std. dev. 0.0036 0.0253 0.0107 0.1083 0.0903 0.0464 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_J48.0001.AUC mean 0.9437 0.7195 0.7973 0.7776 0.7761 0.7962 std. dev. 0.0036 0.0181 0.0313 0.1071 0.09 0.0472 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_NBKappa mean 0.9733 0.7815 0.373 0.6233 0.6782 0.65 std. dev. 0.0071 0.0024 0.0118 0.2095 0.2182 0.1569 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0142 0.0142 0.0142 0.0142 0.0142 0.0142 meta_REPTreeDepth1AUC mean 0.7888 0.6274 0.5925 0.6779 0.7127 0.6912 std. dev. 0.0037 0.0037 0.0061 0.0753 0.1162 0.0474 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 meta_NaiveBayesAdwin.changes mean 2.8125 0 0.2813 0.9118 1.8857 2.0672 std. dev. 1.6875 0.1875 0.4871 1.6272 3.2726 2.0916 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 1.125 1.125 1.125 1.125 1.125 1.125 meta_REPTreeDepth3ErrRate mean 21.4 33.0727 52.5273 35.0202 37.8092 36.6373 std. dev. 3.2424 0.6485 8.9152 17.0213 25.7581 14.8206 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 1.297 1.297 1.297 1.297 1.297 1.297 meta_DecisionStumpErrRate mean 50.7682 39.6409 57.0273 47.546 45.9919 49.6857 std. dev. 2.0864 0.6955 9.6365 25.3379 31.2634 23.6306 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 1.3909 1.3909 1.3909 1.3909 1.3909 1.3909 meta_MeanStdDevOfNumericAtts mean 0 0 0 12.2399 2079.056 0 std. dev. 273.0507 273.0507 273.0507 273.0507 10396.139 273.0507 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 1638.3044 1638.3044 1638.3044 1638.3044 1638.3044 1638.3044 meta_Dimensionality mean 0.0356 0 0.0178 0.0352 0.0205 0.0503 std. dev. 0.0059 0.0059 0.0309 0.0866 0.0298 0.0221 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0356 0.0356 0.0356 0.0356 0.0356 0.0356 meta_REPTreeDepth2AUC mean 0.9045 0.6446 0.6339 0.7497 0.7552 0.7631 std. dev. 0.0142 0.0036 0.0174 0.0866 0.0864 0.0836 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 meta_StdvNominalAttDistinctValues mean 0.3308 -0.9924 -0.7443 0.209 1.5891 0.8427 std. dev. 0.0551 0.0551 0.4297 0.9556 2.8605 1.3396 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.3308 0.3308 0.3308 0.3308 0.3308 0.3308 meta_HoeffdingAdwin.changes mean 2.3333 0 0.2917 0.814 1.689 2.1528 std. dev. 1.1667 0.1944 0.5052 1.4931 2.9063 2.4051 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 1.1667 1.1667 1.1667 1.1667 1.1667 1.1667 meta_MeanSkewnessOfNumericAtts mean 0.0353 0 0 0.138 0.0651 0.2051 std. dev. 0.0353 0.0118 0.1221 0.399 0.1854 0.4415 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0705 0.0705 0.0705 0.0705 0.0705 0.0705 meta_IncompleteInstanceCount mean 0 0 0 0 2.9995 0 std. dev. 13 13 13 13 14.9989 13 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 78 78 78 78 78 78 meta_DefaultAccuracy mean 0.3236 0.5239 0.3775 0.4222 0.4122 0.3902 std. dev. 0.0154 0.0026 0.1201 0.2488 0.2586 0.2163 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0154 0.0154 0.0154 0.0154 0.0154 0.0154 meta_REPTreeDepth1ErrRate mean 50.804 37.5508 59.2714 47.3106 44.8219 49.2652 std. dev. 2.2089 0.7363 11.2811 24.7755 31.8492 22.5327 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 1.4726 1.4726 1.4726 1.4726 1.4726 1.4726 meta_J48.001.kappa mean 0.8396 0.4198 0.5572 0.5084 0.5046 0.5129 std. dev. 0.0025 0.0382 0.0333 0.1848 0.2034 0.1047 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_NumAttributes mean 35.6429 0 17.8214 35.1941 20.5171 50.2781 std. dev. 5.9405 5.9405 30.8676 86.6034 29.8465 22.0994 weight sum 0.7807 0.7807 1.5613 52.2457 10.1502 5.4815 precision 35.6429 35.6429 35.6429 35.6429 35.6429 35.6429 Weight: 0.57 Naive Bayes Classifier Class Attribute moa.NaiveBayes(1) moa.SPegasos(1) moa.LeveragingBag_kNN(1) moa.LeveragingBag_HoeffdingTree(1) moa.OzaBag_HoeffdingTree(1) moa.OzaBoost_HoeffdingTree(1) (0.02) (0.02) (0.03) (0.74) (0.12) (0.07) ====================================================================================================================================================================================================================================================== openml_task_id mean 1166.6 184.2 184.2 654.1277 929.3026 536.017 std. dev. 982.4 5.1167 5.1167 853.1696 964.7355 768.6986 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 30.7 30.7 30.7 30.7 30.7 30.7 meta_REPTreeDepth2ErrRate mean 28.5719 36.2375 56.4469 41.8054 41.5795 42.234 std. dev. 3.4844 0.2323 10.9078 20.9566 28.6947 18.2289 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 1.3938 1.3938 1.3938 1.3938 1.3938 1.3938 meta_J48.00001.ErrRate mean 11.8903 30.0387 33.4806 29.7225 32.5293 34.178 std. dev. 0.6258 1.2516 1.6259 12.2888 19.5413 12.1721 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 1.2516 1.2516 1.2516 1.2516 1.2516 1.2516 meta_NBErrRate mean 1.6476 10.9841 45.3095 22.237 20.91 22.4099 std. dev. 0.5492 0.1831 5.2892 14.2802 20.3056 9.686 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 1.0984 1.0984 1.0984 1.0984 1.0984 1.0984 meta_MeanMutualInformation mean 0.3811 -0.9988 -0.7491 -0.1868 -0.1974 -0.051 std. dev. 0.0131 0.0044 0.4325 0.4989 0.485 0.3557 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0263 0.0263 0.0263 0.0263 0.0263 0.0263 meta_NBAUC mean 0.9981 0.933 0.7594 0.8997 0.9181 0.9132 std. dev. 0.0012 0.0012 0.0051 0.098 0.0704 0.0699 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_DecisionStumpKappa mean 0.3385 0.221 0.1554 0.2587 0.3451 0.2415 std. dev. 0.0207 0.0138 0.0383 0.1773 0.2572 0.1469 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0138 0.0138 0.0138 0.0138 0.0138 0.0138 meta_HoeffdingDDM.warnings mean 0 0 3.025 0.7273 1.4859 1.3657 std. dev. 0.1833 0.1833 1.4289 1.755 2.1765 2.2648 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 1.1 1.1 1.1 1.1 1.1 1.1 meta_NoiseToSignalRatio mean 0 0 -47.2148 -6.8888 11.2783 -23.2998 std. dev. 3.4974 3.4974 81.7785 88.3714 14.5282 79.322 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 20.9844 20.9844 20.9844 20.9844 20.9844 20.9844 meta_RandomTreeDepth3AUC_K=0 mean 0.9198 0.7169 0.6989 0.7769 0.7921 0.7539 std. dev. 0.0164 0.0098 0.0255 0.0744 0.075 0.0772 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0065 0.0065 0.0065 0.0065 0.0065 0.0065 meta_PercentageOfNumericAtts mean 0.0183 0.9139 0.7311 0.2766 0.3183 0.2031 std. dev. 0.0183 0.0061 0.3166 0.4111 0.4365 0.3212 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0366 0.0366 0.0366 0.0366 0.0366 0.0366 meta_EquivalentNumberOfAtts mean 11.1553 0 -47.4099 11.828 12.8965 -16.8814 std. dev. 1.8592 1.8592 82.1164 38.0336 16.8466 83.1145 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 11.1553 11.1553 11.1553 11.1553 11.1553 11.1553 meta_HoeffdingDDM.changes mean 0 0 0.625 0.0543 0 0.1858 std. dev. 0.2083 0.2083 1.0825 0.448 0.2083 0.4446 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 1.25 1.25 1.25 1.25 1.25 1.25 meta_ClassEntropy mean 2.3931 -0.9971 1.396 1.6611 2.0349 1.313 std. dev. 0.0166 0.0166 1.3817 1.3459 1.31 1.7267 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0997 0.0997 0.0997 0.0997 0.0997 0.0997 meta_NaiveBayesDdm.changes mean 0 0 0.6667 0.1159 0 0.3963 std. dev. 0.2222 0.2222 1.1547 0.8257 0.2222 0.9485 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 1.3333 1.3333 1.3333 1.3333 1.3333 1.3333 meta_NumMissingValues mean 0 0 0 0 5.4607 0 std. dev. 23.6667 23.6667 23.6667 23.6667 27.3056 23.6667 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 142 142 142 142 142 142 meta_NumNominalAtts mean 31.25 0 7.8125 27.9524 3.7097 38.8331 std. dev. 5.2083 5.2083 13.5316 74.5043 10.1077 23.4968 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 31.25 31.25 31.25 31.25 31.25 31.25 meta_REPTreeDepth3AUC mean 0.9366 0.6908 0.6784 0.7918 0.8138 0.8138 std. dev. 0.0107 0.0071 0.0332 0.0907 0.0873 0.0695 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 meta_MeanAttributeEntropy mean 1.269 -0.9518 -0.9518 0.0132 0.2951 0.2918 std. dev. 0.0176 0.0176 0.0176 1.0273 1.0297 1.0476 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.1058 0.1058 0.1058 0.1058 0.1058 0.1058 meta_MeanKurtosisOfNumericAtts mean -0.4081 -1.2244 0.2041 0.1331 0.0637 0.1256 std. dev. 0.4081 0.068 0.3535 1.2196 0.7128 0.7728 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.4081 0.4081 0.4081 0.4081 0.4081 0.4081 meta_REPTreeDepth3Kappa mean 0.7264 0.338 0.2265 0.4454 0.4649 0.4618 std. dev. 0.036 0.0072 0.0412 0.1637 0.2265 0.1382 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0144 0.0144 0.0144 0.0144 0.0144 0.0144 meta_J48.001.ErrRate mean 12.1078 29.4047 31.4227 28.6735 32.0892 32.6634 std. dev. 0.5766 1.7297 2.8684 11.6608 19.301 12.8909 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 1.1531 1.1531 1.1531 1.1531 1.1531 1.1531 meta_NumNumericAtts mean 0 8.4444 8.4444 5.3925 16.0928 12.8266 std. dev. 0.7037 0.7037 0.7037 11.1274 26.1167 24.3912 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 4.2222 4.2222 4.2222 4.2222 4.2222 4.2222 meta_ClassCount mean 5.3333 5.3333 6 6.1423 8.1836 7.8239 std. dev. 0.4444 0.4444 1.1547 3.8151 6.1016 3.4928 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 2.6667 2.6667 2.6667 2.6667 2.6667 2.6667 meta_J48.00001.AUC mean 0.947 0.7194 0.7965 0.781 0.7746 0.7869 std. dev. 0.0073 0.0147 0.0287 0.0951 0.0951 0.0484 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 meta_PercentageOfBinaryAtts mean 0.0416 0 0.1975 0.233 0.1331 0.2401 std. dev. 0.0069 0.0069 0.3421 0.306 0.0963 0.2524 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0416 0.0416 0.0416 0.0416 0.0416 0.0416 meta_DecisionStumpAUC mean 0.7803 0.6172 0.5933 0.6725 0.7217 0.6813 std. dev. 0.0064 0.0032 0.0199 0.0608 0.075 0.0354 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0064 0.0064 0.0064 0.0064 0.0064 0.0064 meta_RandomTreeDepth1AUC_K=0 mean 0.736 0.6179 0.5785 0.6602 0.708 0.6681 std. dev. 0.0714 0.0074 0.0113 0.0612 0.0738 0.0586 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0049 0.0049 0.0049 0.0049 0.0049 0.0049 meta_REPTreeDepth2Kappa mean 0.6257 0.2661 0.1402 0.3448 0.4082 0.3505 std. dev. 0.0503 0.0072 0.0213 0.1507 0.2418 0.1342 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0144 0.0144 0.0144 0.0144 0.0144 0.0144 meta_PositivePercentage mean 0.0605 0 0.0832 0.1548 0.1045 0.1606 std. dev. 0.0017 0.0017 0.048 0.1356 0.1501 0.2004 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0101 0.0101 0.0101 0.0101 0.0101 0.0101 meta_J48.0001.ErrRate mean 12.2951 30.123 32.582 29.3424 32.3302 33.4735 std. dev. 0.2049 1.8443 1.3746 12.0698 19.5337 12.7156 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 1.2295 1.2295 1.2295 1.2295 1.2295 1.2295 meta_MinNominalAttDistinctValues mean 1.6 -1.6 -0.8 1.0662 0.8074 1.787 std. dev. 0.2667 0.2667 1.3856 1.7541 1.4844 1.4495 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 1.6 1.6 1.6 1.6 1.6 1.6 meta_RandomTreeDepth2AUC_K=0 mean 0.8773 0.684 0.6442 0.7334 0.7697 0.7297 std. dev. 0.0245 0.0092 0.0217 0.0737 0.0664 0.0636 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0061 0.0061 0.0061 0.0061 0.0061 0.0061 meta_MeanMeansOfNumericAtts mean 0 0 0 0 3690.0918 0 std. dev. 484.6345 484.6345 484.6345 484.6345 18451.9837 484.6345 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 2907.8071 2907.8071 2907.8071 2907.8071 2907.8071 2907.8071 meta_J48.0001.kappa mean 0.8472 0.3969 0.5114 0.5021 0.5028 0.4988 std. dev. 0.0076 0.0305 0.0932 0.1609 0.2057 0.0985 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_MeanNominalAttDistinctValues mean 4.0219 -0.8618 -0.1436 1.8051 2.7144 2.4729 std. dev. 0.0479 0.0479 1.244 1.6829 2.7592 1.3907 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.2873 0.2873 0.2873 0.2873 0.2873 0.2873 meta_J48.00001.kappa mean 0.8454 0.4033 0.508 0.4973 0.4984 0.4746 std. dev. 0.0078 0.031 0.088 0.1602 0.2148 0.0917 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0155 0.0155 0.0155 0.0155 0.0155 0.0155 meta_PercentageOfNominalAtts mean 0.9596 0 0.1983 0.6744 0.6252 0.7687 std. dev. 0.0128 0.0043 0.3435 0.4226 0.4129 0.3221 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0256 0.0256 0.0256 0.0256 0.0256 0.0256 meta_REPTreeDepth1Kappa mean 0.3367 0.2372 0.1033 0.2515 0.3474 0.2557 std. dev. 0.0306 0.0077 0.0226 0.1739 0.2938 0.1422 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_NegativePercentage mean 0.3236 0.5239 0.3775 0.4204 0.4122 0.3902 std. dev. 0.0154 0.0026 0.1201 0.2515 0.2586 0.2163 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0154 0.0154 0.0154 0.0154 0.0154 0.0154 meta_NumBinaryAtts mean 0 0 16.6667 6.824 0 9.9074 std. dev. 11.1111 11.1111 28.8675 74.0098 11.1111 23.7136 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 66.6667 66.6667 66.6667 66.6667 66.6667 66.6667 meta_NaiveBayesDdm.warnings mean 0 0 3.6667 2.122 1.5616 2.4294 std. dev. 0.3056 0.3056 3.1754 3.1782 1.5858 4.579 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 1.8333 1.8333 1.8333 1.8333 1.8333 1.8333 meta_MaxNominalAttDistinctValues mean 2.8 0 0.7 3.3711 6.7108 6.6108 std. dev. 0.4667 0.4667 1.2124 3.3964 9.2532 6.1715 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 2.8 2.8 2.8 2.8 2.8 2.8 meta_PercentageOfMissingValues mean 0 0 0 0 0.0004 0 std. dev. 0.0016 0.0016 0.0016 0.0016 0.0018 0.0016 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0095 0.0095 0.0095 0.0095 0.0095 0.0095 meta_J48.001.AUC mean 0.9437 0.7268 0.8154 0.7846 0.7755 0.7982 std. dev. 0.0036 0.0253 0.0107 0.0964 0.0903 0.0464 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_J48.0001.AUC mean 0.9437 0.7195 0.7973 0.7801 0.7761 0.7962 std. dev. 0.0036 0.0181 0.0313 0.095 0.09 0.0472 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_NBKappa mean 0.9733 0.7815 0.373 0.6401 0.6782 0.65 std. dev. 0.0071 0.0024 0.0118 0.1987 0.2182 0.1569 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0142 0.0142 0.0142 0.0142 0.0142 0.0142 meta_REPTreeDepth1AUC mean 0.7888 0.6274 0.5925 0.678 0.7127 0.6912 std. dev. 0.0037 0.0037 0.0061 0.0689 0.1162 0.0474 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 meta_NaiveBayesAdwin.changes mean 2.8125 0 0.2813 0.9888 1.8857 2.0672 std. dev. 1.6875 0.1875 0.4871 1.6915 3.2726 2.0916 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 1.125 1.125 1.125 1.125 1.125 1.125 meta_REPTreeDepth3ErrRate mean 21.4 33.0727 52.5273 35.6561 37.8092 36.6373 std. dev. 3.2424 0.6485 8.9152 17.2857 25.7581 14.8206 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 1.297 1.297 1.297 1.297 1.297 1.297 meta_DecisionStumpErrRate mean 50.7682 39.6409 57.0273 48.0486 45.9919 49.6857 std. dev. 2.0864 0.6955 9.6365 25.5414 31.2634 23.6306 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 1.3909 1.3909 1.3909 1.3909 1.3909 1.3909 meta_MeanStdDevOfNumericAtts mean 0 0 0 8.8979 2079.056 0 std. dev. 273.0507 273.0507 273.0507 273.0507 10396.139 273.0507 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 1638.3044 1638.3044 1638.3044 1638.3044 1638.3044 1638.3044 meta_Dimensionality mean 0.0356 0 0.0178 0.0342 0.0205 0.0503 std. dev. 0.0059 0.0059 0.0309 0.075 0.0298 0.0221 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0356 0.0356 0.0356 0.0356 0.0356 0.0356 meta_REPTreeDepth2AUC mean 0.9045 0.6446 0.6339 0.749 0.7552 0.7631 std. dev. 0.0142 0.0036 0.0174 0.0824 0.0864 0.0836 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 meta_StdvNominalAttDistinctValues mean 0.3308 -0.9924 -0.7443 0.1885 1.5891 0.8427 std. dev. 0.0551 0.0551 0.4297 0.9743 2.8605 1.3396 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.3308 0.3308 0.3308 0.3308 0.3308 0.3308 meta_HoeffdingAdwin.changes mean 2.3333 0 0.2917 0.8814 1.689 2.1528 std. dev. 1.1667 0.1944 0.5052 1.5295 2.9063 2.4051 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 1.1667 1.1667 1.1667 1.1667 1.1667 1.1667 meta_MeanSkewnessOfNumericAtts mean 0.0353 0 0 0.106 0.0651 0.2051 std. dev. 0.0353 0.0118 0.1221 0.3547 0.1854 0.4415 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0705 0.0705 0.0705 0.0705 0.0705 0.0705 meta_IncompleteInstanceCount mean 0 0 0 0 2.9995 0 std. dev. 13 13 13 13 14.9989 13 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 78 78 78 78 78 78 meta_DefaultAccuracy mean 0.3236 0.5239 0.3775 0.4204 0.4122 0.3902 std. dev. 0.0154 0.0026 0.1201 0.2515 0.2586 0.2163 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0154 0.0154 0.0154 0.0154 0.0154 0.0154 meta_REPTreeDepth1ErrRate mean 50.804 37.5508 59.2714 47.9774 44.8219 49.2652 std. dev. 2.2089 0.7363 11.2811 25.237 31.8492 22.5327 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 1.4726 1.4726 1.4726 1.4726 1.4726 1.4726 meta_J48.001.kappa mean 0.8396 0.4198 0.5572 0.5142 0.5046 0.5129 std. dev. 0.0025 0.0382 0.0333 0.1609 0.2034 0.1047 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_NumAttributes mean 35.6429 0 17.8214 34.2037 20.5171 50.2781 std. dev. 5.9405 5.9405 30.8676 74.9736 29.8465 22.0994 weight sum 0.6116 0.6116 1.2232 56.3066 7.9523 4.2945 precision 35.6429 35.6429 35.6429 35.6429 35.6429 35.6429 Weight: 0.52 Naive Bayes Classifier Class Attribute moa.NaiveBayes(1) moa.SPegasos(1) moa.LeveragingBag_kNN(1) moa.LeveragingBag_HoeffdingTree(1) moa.OzaBag_HoeffdingTree(1) moa.OzaBoost_HoeffdingTree(1) (0.02) (0.02) (0.03) (0.76) (0.12) (0.06) ====================================================================================================================================================================================================================================================== openml_task_id mean 1166.6 184.2 184.2 577.4509 775.4481 519.807 std. dev. 982.4 5.1167 5.1167 805.0071 910.7688 754.3952 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 30.7 30.7 30.7 30.7 30.7 30.7 meta_REPTreeDepth2ErrRate mean 28.5719 36.2375 56.4469 42.8019 37.3107 41.765 std. dev. 3.4844 0.2323 10.9078 20.8728 26.896 17.9314 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 1.3938 1.3938 1.3938 1.3938 1.3938 1.3938 meta_J48.00001.ErrRate mean 11.8903 30.0387 33.4806 30.4829 29.9475 33.9872 std. dev. 0.6258 1.2516 1.6259 12.0001 18.1281 11.92 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 1.2516 1.2516 1.2516 1.2516 1.2516 1.2516 meta_NBErrRate mean 1.6476 10.9841 45.3095 22.1425 19.314 22.3389 std. dev. 0.5492 0.1831 5.2892 14.499 18.3567 9.4657 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 1.0984 1.0984 1.0984 1.0984 1.0984 1.0984 meta_MeanMutualInformation mean 0.3811 -0.9988 -0.7491 -0.1904 -0.1404 -0.0474 std. dev. 0.0131 0.0044 0.4325 0.5014 0.4463 0.3478 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0263 0.0263 0.0263 0.0263 0.0263 0.0263 meta_NBAUC mean 0.9981 0.933 0.7594 0.9005 0.9197 0.9114 std. dev. 0.0012 0.0012 0.0051 0.0994 0.0628 0.0688 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_DecisionStumpKappa mean 0.3385 0.221 0.1554 0.251 0.3851 0.2438 std. dev. 0.0207 0.0138 0.0383 0.1692 0.2421 0.1438 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0138 0.0138 0.0138 0.0138 0.0138 0.0138 meta_HoeffdingDDM.warnings mean 0 0 3.025 0.6802 1.6333 1.3027 std. dev. 0.1833 0.1833 1.4289 1.6139 1.9602 2.2304 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 1.1 1.1 1.1 1.1 1.1 1.1 meta_NoiseToSignalRatio mean 0 0 -47.2148 -8.4692 13.2825 -20.2925 std. dev. 3.4974 3.4974 81.7785 97.0338 13.5249 78.6722 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 20.9844 20.9844 20.9844 20.9844 20.9844 20.9844 meta_RandomTreeDepth3AUC_K=0 mean 0.9198 0.7169 0.6989 0.771 0.8003 0.7505 std. dev. 0.0164 0.0098 0.0255 0.073 0.0687 0.0769 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0065 0.0065 0.0065 0.0065 0.0065 0.0065 meta_PercentageOfNumericAtts mean 0.0183 0.9139 0.7311 0.2749 0.2526 0.1938 std. dev. 0.0183 0.0061 0.3166 0.4134 0.4096 0.3166 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0366 0.0366 0.0366 0.0366 0.0366 0.0366 meta_EquivalentNumberOfAtts mean 11.1553 0 -47.4099 11.234 12.537 -14.0477 std. dev. 1.8592 1.8592 82.1164 34.6422 15.0234 82.1948 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 11.1553 11.1553 11.1553 11.1553 11.1553 11.1553 meta_HoeffdingDDM.changes mean 0 0 0.625 0.0569 0 0.1772 std. dev. 0.2083 0.2083 1.0825 0.4775 0.2083 0.436 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 1.25 1.25 1.25 1.25 1.25 1.25 meta_ClassEntropy mean 2.3931 -0.9971 1.396 1.6199 1.8206 1.2984 std. dev. 0.0166 0.0166 1.3817 1.3909 1.2402 1.6878 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0997 0.0997 0.0997 0.0997 0.0997 0.0997 meta_NaiveBayesDdm.changes mean 0 0 0.6667 0.1136 0 0.378 std. dev. 0.2222 0.2222 1.1547 0.8456 0.2222 0.9302 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 1.3333 1.3333 1.3333 1.3333 1.3333 1.3333 meta_NumMissingValues mean 0 0 0 0 4.3331 0 std. dev. 23.6667 23.6667 23.6667 23.6667 24.4239 23.6667 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 142 142 142 142 142 142 meta_NumNominalAtts mean 31.25 0 7.8125 31.073 2.9437 39.9236 std. dev. 5.2083 5.2083 13.5316 84.636 9.1283 23.4794 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 31.25 31.25 31.25 31.25 31.25 31.25 meta_REPTreeDepth3AUC mean 0.9366 0.6908 0.6784 0.7898 0.8237 0.8097 std. dev. 0.0107 0.0071 0.0332 0.0914 0.0802 0.0703 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 meta_MeanAttributeEntropy mean 1.269 -0.9518 -0.9518 -0.09 0.4088 0.3319 std. dev. 0.0176 0.0176 0.0176 1.0186 0.9439 1.0394 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.1058 0.1058 0.1058 0.1058 0.1058 0.1058 meta_MeanKurtosisOfNumericAtts mean -0.4081 -1.2244 0.2041 0.1142 0.0506 0.1198 std. dev. 0.4081 0.068 0.3535 1.0826 0.6355 0.7553 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.4081 0.4081 0.4081 0.4081 0.4081 0.4081 meta_REPTreeDepth3Kappa mean 0.7264 0.338 0.2265 0.4397 0.4907 0.4578 std. dev. 0.036 0.0072 0.0412 0.1644 0.208 0.1362 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0144 0.0144 0.0144 0.0144 0.0144 0.0144 meta_J48.001.ErrRate mean 12.1078 29.4047 31.4227 29.3553 29.511 32.5398 std. dev. 0.5766 1.7297 2.8684 11.3613 17.9207 12.6029 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 1.1531 1.1531 1.1531 1.1531 1.1531 1.1531 meta_NumNumericAtts mean 0 8.4444 8.4444 5.3804 12.7699 12.2356 std. dev. 0.7037 0.7037 0.7037 11.7354 24.1593 23.974 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 4.2222 4.2222 4.2222 4.2222 4.2222 4.2222 meta_ClassCount mean 5.3333 5.3333 6 6.0602 7.5951 7.5863 std. dev. 0.4444 0.4444 1.1547 3.6436 5.5564 3.5786 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 2.6667 2.6667 2.6667 2.6667 2.6667 2.6667 meta_J48.00001.AUC mean 0.947 0.7194 0.7965 0.7801 0.7753 0.7835 std. dev. 0.0073 0.0147 0.0287 0.0886 0.0847 0.0498 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 meta_PercentageOfBinaryAtts mean 0.0416 0 0.1975 0.2104 0.1485 0.2291 std. dev. 0.0069 0.0069 0.3421 0.2948 0.091 0.2516 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0416 0.0416 0.0416 0.0416 0.0416 0.0416 meta_DecisionStumpAUC mean 0.7803 0.6172 0.5933 0.665 0.7285 0.6802 std. dev. 0.0064 0.0032 0.0199 0.0589 0.0681 0.0348 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0064 0.0064 0.0064 0.0064 0.0064 0.0064 meta_RandomTreeDepth1AUC_K=0 mean 0.736 0.6179 0.5785 0.6538 0.7173 0.6629 std. dev. 0.0714 0.0074 0.0113 0.0603 0.0682 0.0619 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0049 0.0049 0.0049 0.0049 0.0049 0.0049 meta_REPTreeDepth2Kappa mean 0.6257 0.2661 0.1402 0.3358 0.4338 0.3503 std. dev. 0.0503 0.0072 0.0213 0.1466 0.2211 0.1311 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0144 0.0144 0.0144 0.0144 0.0144 0.0144 meta_PositivePercentage mean 0.0605 0 0.0832 0.1525 0.0829 0.1751 std. dev. 0.0017 0.0017 0.048 0.1357 0.1402 0.2064 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0101 0.0101 0.0101 0.0101 0.0101 0.0101 meta_J48.0001.ErrRate mean 12.2951 30.123 32.582 30.1354 29.7165 33.2908 std. dev. 0.2049 1.8443 1.3746 11.8528 18.1391 12.447 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 1.2295 1.2295 1.2295 1.2295 1.2295 1.2295 meta_MinNominalAttDistinctValues mean 1.6 -1.6 -0.8 1.0617 0.9711 1.8521 std. dev. 0.2667 0.2667 1.3856 1.765 1.3607 1.4463 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 1.6 1.6 1.6 1.6 1.6 1.6 meta_RandomTreeDepth2AUC_K=0 mean 0.8773 0.684 0.6442 0.7258 0.7767 0.7263 std. dev. 0.0245 0.0092 0.0217 0.072 0.0608 0.064 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0061 0.0061 0.0061 0.0061 0.0061 0.0061 meta_MeanMeansOfNumericAtts mean 0 0 0 0 2928.1334 0 std. dev. 484.6345 484.6345 484.6345 484.6345 16504.6295 484.6345 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 2907.8071 2907.8071 2907.8071 2907.8071 2907.8071 2907.8071 meta_J48.0001.kappa mean 0.8472 0.3969 0.5114 0.4994 0.5156 0.4941 std. dev. 0.0076 0.0305 0.0932 0.1436 0.1849 0.0986 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_MeanNominalAttDistinctValues mean 4.0219 -0.8618 -0.1436 1.8142 2.6878 2.4914 std. dev. 0.0479 0.0479 1.244 1.6948 2.4584 1.3608 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.2873 0.2873 0.2873 0.2873 0.2873 0.2873 meta_J48.00001.kappa mean 0.8454 0.4033 0.508 0.4943 0.5108 0.4713 std. dev. 0.0078 0.031 0.088 0.1425 0.1929 0.0908 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0155 0.0155 0.0155 0.0155 0.0155 0.0155 meta_PercentageOfNominalAtts mean 0.9596 0 0.1983 0.6781 0.6864 0.7781 std. dev. 0.0128 0.0043 0.3435 0.4268 0.3869 0.3175 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0256 0.0256 0.0256 0.0256 0.0256 0.0256 meta_REPTreeDepth1Kappa mean 0.3367 0.2372 0.1033 0.2432 0.3863 0.2573 std. dev. 0.0306 0.0077 0.0226 0.166 0.2726 0.1391 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_NegativePercentage mean 0.3236 0.5239 0.3775 0.4152 0.4576 0.3964 std. dev. 0.0154 0.0026 0.1201 0.2475 0.2469 0.2131 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0154 0.0154 0.0154 0.0154 0.0154 0.0154 meta_NumBinaryAtts mean 0 0 16.6667 8.2163 0 9.4509 std. dev. 11.1111 11.1111 28.8675 84.4531 11.1111 23.2538 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 66.6667 66.6667 66.6667 66.6667 66.6667 66.6667 meta_NaiveBayesDdm.warnings mean 0 0 3.6667 2.1397 1.6177 2.3174 std. dev. 0.3056 0.3056 3.1754 3.1343 1.4169 4.5011 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 1.8333 1.8333 1.8333 1.8333 1.8333 1.8333 meta_MaxNominalAttDistinctValues mean 2.8 0 0.7 3.4956 5.9032 6.4352 std. dev. 0.4667 0.4667 1.2124 3.5865 8.3933 6.0803 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 2.8 2.8 2.8 2.8 2.8 2.8 meta_PercentageOfMissingValues mean 0 0 0 0 0.0003 0 std. dev. 0.0016 0.0016 0.0016 0.0016 0.0016 0.0016 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0095 0.0095 0.0095 0.0095 0.0095 0.0095 meta_J48.001.AUC mean 0.9437 0.7268 0.8154 0.784 0.7767 0.7941 std. dev. 0.0036 0.0253 0.0107 0.09 0.0805 0.049 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_J48.0001.AUC mean 0.9437 0.7195 0.7973 0.7791 0.7771 0.7925 std. dev. 0.0036 0.0181 0.0313 0.0883 0.0802 0.0491 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0072 0.0072 0.0072 0.0072 0.0072 0.0072 meta_NBKappa mean 0.9733 0.7815 0.373 0.6482 0.6848 0.6463 std. dev. 0.0071 0.0024 0.0118 0.198 0.1948 0.1542 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0142 0.0142 0.0142 0.0142 0.0142 0.0142 meta_REPTreeDepth1AUC mean 0.7888 0.6274 0.5925 0.6737 0.7216 0.6898 std. dev. 0.0037 0.0037 0.0061 0.0651 0.105 0.0467 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0073 0.0073 0.0073 0.0073 0.0073 0.0073 meta_NaiveBayesAdwin.changes mean 2.8125 0 0.2813 0.9701 1.4963 1.9719 std. dev. 1.6875 0.1875 0.4871 1.6944 3.0135 2.0883 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 1.125 1.125 1.125 1.125 1.125 1.125 meta_REPTreeDepth3ErrRate mean 21.4 33.0727 52.5273 36.6663 34.0192 36.3834 std. dev. 3.2424 0.6485 8.9152 17.6445 24.1181 14.5212 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 1.297 1.297 1.297 1.297 1.297 1.297 meta_DecisionStumpErrRate mean 50.7682 39.6409 57.0273 48.8443 40.8032 48.9986 std. dev. 2.0864 0.6955 9.6365 25.0999 29.6486 23.2906 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 1.3909 1.3909 1.3909 1.3909 1.3909 1.3909 meta_MeanStdDevOfNumericAtts mean 0 0 0 6.9574 1649.7566 0 std. dev. 273.0507 273.0507 273.0507 273.0507 9298.9688 273.0507 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 1638.3044 1638.3044 1638.3044 1638.3044 1638.3044 1638.3044 meta_Dimensionality mean 0.0356 0 0.0178 0.0377 0.0163 0.0512 std. dev. 0.0059 0.0059 0.0309 0.0849 0.0279 0.022 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0356 0.0356 0.0356 0.0356 0.0356 0.0356 meta_REPTreeDepth2AUC mean 0.9045 0.6446 0.6339 0.7474 0.7551 0.7601 std. dev. 0.0142 0.0036 0.0174 0.0818 0.0769 0.0828 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0071 0.0071 0.0071 0.0071 0.0071 0.0071 meta_StdvNominalAttDistinctValues mean 0.3308 -0.9924 -0.7443 0.2021 1.3976 0.8039 std. dev. 0.0551 0.0551 0.4297 0.9983 2.5757 1.3202 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.3308 0.3308 0.3308 0.3308 0.3308 0.3308 meta_HoeffdingAdwin.changes mean 2.3333 0 0.2917 0.8666 1.3402 2.0536 std. dev. 1.1667 0.1944 0.5052 1.5188 2.6777 2.392 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 1.1667 1.1667 1.1667 1.1667 1.1667 1.1667 meta_MeanSkewnessOfNumericAtts mean 0.0353 0 0 0.0898 0.0516 0.1956 std. dev. 0.0353 0.0118 0.1221 0.329 0.1673 0.4334 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0705 0.0705 0.0705 0.0705 0.0705 0.0705 meta_IncompleteInstanceCount mean 0 0 0 0 2.3802 0 std. dev. 13 13 13 13 13.4159 13 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 78 78 78 78 78 78 meta_DefaultAccuracy mean 0.3236 0.5239 0.3775 0.4152 0.4576 0.3964 std. dev. 0.0154 0.0026 0.1201 0.2475 0.2469 0.2131 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0154 0.0154 0.0154 0.0154 0.0154 0.0154 meta_REPTreeDepth1ErrRate mean 50.804 37.5508 59.2714 48.9281 39.8237 48.6237 std. dev. 2.2089 0.7363 11.2811 24.9202 30.0153 22.2003 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 1.4726 1.4726 1.4726 1.4726 1.4726 1.4726 meta_J48.001.kappa mean 0.8396 0.4198 0.5572 0.5121 0.517 0.5075 std. dev. 0.0025 0.0382 0.0333 0.1431 0.1829 0.1051 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 0.0153 0.0153 0.0153 0.0153 0.0153 0.0153 meta_NumAttributes mean 35.6429 0 17.8214 37.7334 16.2806 51.246 std. dev. 5.9405 5.9405 30.8676 84.881 27.854 22.029 weight sum 0.488 0.488 0.9761 57.4591 7.9965 3.5922 precision 35.6429 35.6429 35.6429 35.6429 35.6429 35.6429 Weight: 0.14 Number of performed Iterations: 8