446651 2 Joaquin Vanschoren 4523 Supervised Classification predictive_accuracy 1165 weka.A1DE(4) 1918 weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0 F 1 1165 M 1.0 1165 weka weka_3.7.12 955 tae https://www.openml.org/data/download/53489/tae.arff -1 1565203 description https://api.openml.org/data/download/1565203/weka_generated_run8229272303946958060.xml -1 1565206 model_readable https://api.openml.org/data/download/1565206/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE1483053807981545417.model -1 1565205 model_serialized https://api.openml.org/data/download/1565205/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE2183068112363703616.model -1 1565204 predictions https://api.openml.org/data/download/1565204/weka_generated_predictions4433842457421203190.arff area_under_roc_curve 0.612344 [0.612344,0.612344] average_cost 0 f_measure 0.718419 [0.562368,0.800386] kappa 0.365611 kb_relative_information_score 220.313165 mean_absolute_error 0.394241 mean_prior_absolute_error 0.452192 number_of_instances 1510 [520,990] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.717034 [0.624413,0.765683] predictive_accuracy 0.725828 prior_entropy 0.930817 recall 0.725828 [0.511538,0.838384] relative_absolute_error 0.871844 root_mean_prior_squared_error 0.475167 root_mean_squared_error 0.449647 root_relative_squared_error 0.946293 scimark_benchmark 933.345534 [557.0873895316777, 1011.5249537742577, 441.869051235415, 905.8189936379142, 1750.4272808716194] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.416667 [0.416667,0.416667] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.633333 [0.633333,0.633333] area_under_roc_curve 0.766667 [0.766667,0.766667] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.608333 [0.608333,0.608333] area_under_roc_curve 0.766667 [0.766667,0.766667] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.608333 [0.608333,0.608333] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.61 [0.61,0.61] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.59 [0.59,0.59] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.47 [0.47,0.47] area_under_roc_curve 0.546296 [0.546296,0.546296] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.62037 [0.62037,0.62037] area_under_roc_curve 0.62 [0.62,0.62] area_under_roc_curve 0.546296 [0.546296,0.546296] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.49 [0.49,0.49] area_under_roc_curve 0.49 [0.49,0.49] area_under_roc_curve 0.82 [0.82,0.82] area_under_roc_curve 0.66 [0.66,0.66] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.48 [0.48,0.48] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.81 [0.81,0.81] area_under_roc_curve 0.54 [0.54,0.54] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.54 [0.54,0.54] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.56 [0.56,0.56] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.61 [0.61,0.61] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.77 [0.77,0.77] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.56 [0.56,0.56] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.56 [0.56,0.56] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.82 [0.82,0.82] area_under_roc_curve 0.55 [0.55,0.55] area_under_roc_curve 0.63 [0.63,0.63] area_under_roc_curve 0.61 [0.61,0.61] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.98 [0.98,0.98] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.87 [0.87,0.87] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.58 [0.58,0.58] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.86 [0.86,0.86] area_under_roc_curve 0.62 [0.62,0.62] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.7 [0.7,0.7] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.63 [0.63,0.63] area_under_roc_curve 0.83 [0.83,0.83] area_under_roc_curve 0.59 [0.59,0.59] area_under_roc_curve 0.56 [0.56,0.56] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.53 [0.53,0.53] area_under_roc_curve 0.51 [0.51,0.51] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.65 [0.65,0.65] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.59 [0.59,0.59] area_under_roc_curve 0.9 [0.9,0.9] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.45 [0.45,0.45] area_under_roc_curve 0.76 [0.76,0.76] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.6 [0.6,0.6] area_under_roc_curve 0.685185 [0.685185,0.685185] area_under_roc_curve 0.824074 [0.824074,0.824074] area_under_roc_curve 0.666667 [0.666667,0.666667] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.805556 [0.805556,0.805556] area_under_roc_curve 0.72 [0.72,0.72] area_under_roc_curve 0.768519 [0.768519,0.768519] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.842593 [0.842593,0.842593] area_under_roc_curve 0.68 [0.68,0.68] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.472727 [0.2,0.636364] f_measure 0.793478 [0.666667,0.869565] f_measure 0.691296 [0.615385,0.736842] f_measure 0.808442 [0.727273,0.857143] f_measure 0.604545 [0.4,0.727273] f_measure 0.680736 [0.545455,0.761905] f_measure 0.814777 [0.769231,0.842105] f_measure 0.691296 [0.615385,0.736842] f_measure 0.655797 [0.444444,0.782609] f_measure 0.604545 [0.4,0.727273] f_measure 0.6 [0.4,0.7] f_measure 0.673046 [0.545455,0.736842] f_measure 0.656085 [0.444444,0.761905] f_measure 0.712121 [0.5,0.818182] f_measure 0.47619 [0.428571,0.5] f_measure 0.537557 [0.461538,0.588235] f_measure 0.770186 [0.571429,0.869565] f_measure 0.660287 [0.545455,0.736842] f_measure 0.611111 [0.5,0.666667] f_measure 0.533333 [0.533333,0.533333] f_measure 0.712121 [0.5,0.818182] f_measure 0.568182 [0.25,0.727273] f_measure 0.568182 [0.25,0.727273] f_measure 0.866667 [0.8,0.9] f_measure 0.733333 [0.6,0.8] f_measure 0.673046 [0.545455,0.736842] f_measure 0.568182 [0.25,0.727273] f_measure 0.712121 [0.5,0.818182] f_measure 0.673046 [0.545455,0.736842] f_measure 0.866667 [0.8,0.9] f_measure 0.616977 [0.285714,0.782609] f_measure 0.740741 [0.666667,0.777778] f_measure 0.856061 [0.75,0.909091] f_measure 0.6 [0.4,0.7] f_measure 0.666667 [0.333333,0.833333] f_measure 0.616977 [0.285714,0.782609] f_measure 0.866667 [0.8,0.9] f_measure 0.616977 [0.285714,0.782609] f_measure 0.675716 [0.615385,0.705882] f_measure 0.856061 [0.75,0.909091] f_measure 0.803828 [0.727273,0.842105] f_measure 0.616977 [0.285714,0.782609] f_measure 0.770186 [0.571429,0.869565] f_measure 0.6 [0.4,0.7] f_measure 0.666667 [0.333333,0.833333] f_measure 0.770186 [0.571429,0.869565] f_measure 0.656085 [0.444444,0.761905] f_measure 0.793651 [0.666667,0.857143] f_measure 0.666667 [0.333333,0.833333] f_measure 0.656085 [0.444444,0.761905] f_measure 0.866667 [0.8,0.9] f_measure 0.616977 [0.285714,0.782609] f_measure 0.673046 [0.545455,0.736842] f_measure 0.656085 [0.444444,0.761905] f_measure 0.666667 [0.333333,0.833333] f_measure 0.856061 [0.75,0.909091] f_measure 0.656085 [0.444444,0.761905] f_measure 0.934609 [0.909091,0.947368] f_measure 0.666667 [0.333333,0.833333] f_measure 0.793651 [0.666667,0.857143] f_measure 0.866667 [0.8,0.9] f_measure 0.740741 [0.666667,0.777778] f_measure 0.770186 [0.571429,0.869565] f_measure 0.656085 [0.444444,0.761905] f_measure 0.803828 [0.727273,0.842105] f_measure 0.866667 [0.8,0.9] f_measure 0.656085 [0.444444,0.761905] f_measure 0.673046 [0.545455,0.736842] f_measure 0.770186 [0.571429,0.869565] f_measure 0.770186 [0.571429,0.869565] f_measure 0.712121 [0.5,0.818182] f_measure 0.712121 [0.5,0.818182] f_measure 0.866667 [0.8,0.9] f_measure 0.6 [0.4,0.7] f_measure 0.656085 [0.444444,0.761905] f_measure 0.87037 [0.833333,0.888889] f_measure 0.6 [0.4,0.7] f_measure 0.568182 [0.25,0.727273] f_measure 0.712121 [0.5,0.818182] f_measure 0.712121 [0.5,0.818182] f_measure 0.793651 [0.666667,0.857143] f_measure 0.793651 [0.666667,0.857143] f_measure 0.6 [0.4,0.7] f_measure 0.931217 [0.888889,0.952381] f_measure 0.666667 [0.333333,0.833333] f_measure 0.5 [0,0.75] f_measure 0.793651 [0.666667,0.857143] f_measure 0.666667 [0.333333,0.833333] f_measure 0.803828 [0.727273,0.842105] f_measure 0.656085 [0.444444,0.761905] f_measure 0.733333 [0.666667,0.777778] f_measure 0.866667 [0.833333,0.888889] f_measure 0.733333 [0.666667,0.777778] f_measure 0.780952 [0.666667,0.857143] f_measure 0.80181 [0.769231,0.823529] f_measure 0.733333 [0.6,0.8] f_measure 0.796172 [0.727273,0.842105] f_measure 0.803828 [0.727273,0.842105] f_measure 0.866667 [0.833333,0.888889] f_measure 0.733333 [0.6,0.8] kappa -0.142857 kappa 0.555556 kappa 0.354839 kappa 0.586207 kappa 0.142857 kappa 0.310345 kappa 0.612903 kappa 0.354839 kappa 0.259259 kappa 0.142857 kappa 0.1 kappa 0.285714 kappa 0.210526 kappa 0.333333 kappa 0 kappa 0.054054 kappa 0.470588 kappa 0.285714 kappa 0.181818 kappa 0.102564 kappa 0.333333 kappa 0 kappa 0 kappa 0.7 kappa 0.4 kappa 0.285714 kappa 0 kappa 0.333333 kappa 0.285714 kappa 0.7 kappa 0.117647 kappa 0.454545 kappa 0.666667 kappa 0.1 kappa 0.25 kappa 0.117647 kappa 0.7 kappa 0.117647 kappa 0.347826 kappa 0.666667 kappa 0.571429 kappa 0.117647 kappa 0.470588 kappa 0.1 kappa 0.25 kappa 0.470588 kappa 0.210526 kappa 0.526316 kappa 0.25 kappa 0.210526 kappa 0.7 kappa 0.117647 kappa 0.285714 kappa 0.210526 kappa 0.25 kappa 0.666667 kappa 0.210526 kappa 0.857143 kappa 0.25 kappa 0.526316 kappa 0.7 kappa 0.454545 kappa 0.470588 kappa 0.210526 kappa 0.571429 kappa 0.7 kappa 0.210526 kappa 0.285714 kappa 0.470588 kappa 0.470588 kappa 0.333333 kappa 0.333333 kappa 0.7 kappa 0.1 kappa 0.210526 kappa 0.727273 kappa 0.1 kappa 0 kappa 0.333333 kappa 0.333333 kappa 0.526316 kappa 0.526316 kappa 0.1 kappa 0.842105 kappa 0.25 kappa -0.125 kappa 0.526316 kappa 0.25 kappa 0.571429 kappa 0.210526 kappa 0.444444 kappa 0.722222 kappa 0.444444 kappa 0.545455 kappa 0.594595 kappa 0.4 kappa 0.571429 kappa 0.571429 kappa 0.722222 kappa 0.4 kb_relative_information_score -1.205023 kb_relative_information_score 3.571717 kb_relative_information_score 1.788015 kb_relative_information_score 3.922449 kb_relative_information_score 1.010222 kb_relative_information_score 1.561535 kb_relative_information_score 3.517893 kb_relative_information_score 2.019969 kb_relative_information_score 2.133563 kb_relative_information_score 0.902402 kb_relative_information_score 0.530309 kb_relative_information_score 1.280672 kb_relative_information_score 1.226059 kb_relative_information_score 2.354219 kb_relative_information_score -2.970117 kb_relative_information_score -0.121407 kb_relative_information_score 3.18119 kb_relative_information_score 1.797317 kb_relative_information_score 0.404538 kb_relative_information_score -0.661829 kb_relative_information_score 2.575379 kb_relative_information_score -0.203515 kb_relative_information_score 0.179512 kb_relative_information_score 3.814214 kb_relative_information_score 1.826853 kb_relative_information_score 1.267679 kb_relative_information_score -0.260147 kb_relative_information_score 2.319667 kb_relative_information_score 0.278846 kb_relative_information_score 3.420461 kb_relative_information_score 1.131012 kb_relative_information_score 2.548422 kb_relative_information_score 4.663765 kb_relative_information_score 0.094552 kb_relative_information_score 2.710751 kb_relative_information_score 1.591015 kb_relative_information_score 4.297506 kb_relative_information_score 1.352109 kb_relative_information_score 0.318343 kb_relative_information_score 4.351365 kb_relative_information_score 2.705056 kb_relative_information_score 1.352109 kb_relative_information_score 3.084987 kb_relative_information_score 0.165348 kb_relative_information_score 2.305151 kb_relative_information_score 3.18119 kb_relative_information_score 0.539372 kb_relative_information_score 3.242732 kb_relative_information_score 2.305151 kb_relative_information_score 1.799074 kb_relative_information_score 3.685205 kb_relative_information_score 1.333174 kb_relative_information_score 1.030164 kb_relative_information_score 1.538616 kb_relative_information_score 2.364922 kb_relative_information_score 4.457779 kb_relative_information_score 1.292256 kb_relative_information_score 5.382033 kb_relative_information_score 2.364922 kb_relative_information_score 3.556634 kb_relative_information_score 4.415866 kb_relative_information_score 2.310805 kb_relative_information_score 3.18119 kb_relative_information_score 1.213187 kb_relative_information_score 3.714596 kb_relative_information_score 4.236346 kb_relative_information_score 1.599212 kb_relative_information_score 1.249183 kb_relative_information_score 3.611448 kb_relative_information_score 3.273361 kb_relative_information_score 2.319667 kb_relative_information_score 2.096003 kb_relative_information_score 3.716704 kb_relative_information_score 0.497114 kb_relative_information_score 0.407556 kb_relative_information_score 3.644573 kb_relative_information_score 0.138587 kb_relative_information_score 0.130919 kb_relative_information_score 2.319667 kb_relative_information_score 2.275264 kb_relative_information_score 3.261747 kb_relative_information_score 3.1555 kb_relative_information_score 0.464013 kb_relative_information_score 4.830254 kb_relative_information_score 5.14691 kb_relative_information_score -0.166678 kb_relative_information_score 3.516769 kb_relative_information_score 2.364922 kb_relative_information_score 3.714596 kb_relative_information_score 1.31055 kb_relative_information_score 2.740598 kb_relative_information_score 4.565704 kb_relative_information_score 2.348016 kb_relative_information_score 3.344271 kb_relative_information_score 4.312165 kb_relative_information_score 2.607317 kb_relative_information_score 3.963157 kb_relative_information_score 3.503495 kb_relative_information_score 4.550207 kb_relative_information_score 2.221046 mean_absolute_error 0.478439 mean_absolute_error 0.380045 mean_absolute_error 0.417095 mean_absolute_error 0.373054 mean_absolute_error 0.431922 mean_absolute_error 0.423999 mean_absolute_error 0.382637 mean_absolute_error 0.411851 mean_absolute_error 0.408364 mean_absolute_error 0.434521 mean_absolute_error 0.424137 mean_absolute_error 0.40913 mean_absolute_error 0.410948 mean_absolute_error 0.385676 mean_absolute_error 0.510801 mean_absolute_error 0.463783 mean_absolute_error 0.368056 mean_absolute_error 0.422551 mean_absolute_error 0.427622 mean_absolute_error 0.479194 mean_absolute_error 0.37942 mean_absolute_error 0.445428 mean_absolute_error 0.4337 mean_absolute_error 0.356472 mean_absolute_error 0.3993 mean_absolute_error 0.410083 mean_absolute_error 0.446843 mean_absolute_error 0.386569 mean_absolute_error 0.438294 mean_absolute_error 0.367884 mean_absolute_error 0.412852 mean_absolute_error 0.380883 mean_absolute_error 0.334667 mean_absolute_error 0.436231 mean_absolute_error 0.375629 mean_absolute_error 0.400455 mean_absolute_error 0.344047 mean_absolute_error 0.407272 mean_absolute_error 0.436831 mean_absolute_error 0.342136 mean_absolute_error 0.382913 mean_absolute_error 0.407272 mean_absolute_error 0.370367 mean_absolute_error 0.434412 mean_absolute_error 0.38646 mean_absolute_error 0.368056 mean_absolute_error 0.428472 mean_absolute_error 0.36718 mean_absolute_error 0.38646 mean_absolute_error 0.395331 mean_absolute_error 0.359526 mean_absolute_error 0.407905 mean_absolute_error 0.416402 mean_absolute_error 0.402151 mean_absolute_error 0.38499 mean_absolute_error 0.339646 mean_absolute_error 0.409268 mean_absolute_error 0.321508 mean_absolute_error 0.38499 mean_absolute_error 0.358742 mean_absolute_error 0.341251 mean_absolute_error 0.387009 mean_absolute_error 0.368056 mean_absolute_error 0.411115 mean_absolute_error 0.35527 mean_absolute_error 0.34548 mean_absolute_error 0.40058 mean_absolute_error 0.410695 mean_absolute_error 0.356876 mean_absolute_error 0.365903 mean_absolute_error 0.386569 mean_absolute_error 0.391965 mean_absolute_error 0.357736 mean_absolute_error 0.424704 mean_absolute_error 0.433539 mean_absolute_error 0.36109 mean_absolute_error 0.435028 mean_absolute_error 0.43512 mean_absolute_error 0.386569 mean_absolute_error 0.387667 mean_absolute_error 0.366661 mean_absolute_error 0.368468 mean_absolute_error 0.425854 mean_absolute_error 0.333471 mean_absolute_error 0.329223 mean_absolute_error 0.444185 mean_absolute_error 0.359707 mean_absolute_error 0.38499 mean_absolute_error 0.35527 mean_absolute_error 0.40866 mean_absolute_error 0.40251 mean_absolute_error 0.363748 mean_absolute_error 0.414195 mean_absolute_error 0.389145 mean_absolute_error 0.365653 mean_absolute_error 0.379046 mean_absolute_error 0.374257 mean_absolute_error 0.360538 mean_absolute_error 0.362768 mean_absolute_error 0.389393 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.461601 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 mean_prior_absolute_error 0.469281 mean_prior_absolute_error 0.448802 number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 16 [6,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [6,9] number_of_instances 15 [6,9] number_of_instances 15 [6,9] number_of_instances 15 [6,9] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [5,10] number_of_instances 15 [6,9] number_of_instances 15 [5,10] precision 0.458333 [0.25,0.583333] precision 0.855769 [1,0.769231] precision 0.700397 [0.571429,0.777778] precision 0.811364 [0.8,0.818182] precision 0.604167 [0.5,0.666667] precision 0.679545 [0.6,0.727273] precision 0.823413 [0.714286,0.888889] precision 0.700397 [0.571429,0.777778] precision 0.682692 [0.666667,0.692308] precision 0.604167 [0.5,0.666667] precision 0.6 [0.4,0.7] precision 0.685185 [0.5,0.777778] precision 0.651515 [0.5,0.727273] precision 0.722222 [0.666667,0.75] precision 0.555556 [0.333333,0.666667] precision 0.546429 [0.428571,0.625] precision 0.846154 [1,0.769231] precision 0.66 [0.6,0.7] precision 0.642857 [0.428571,0.75] precision 0.577778 [0.444444,0.666667] precision 0.722222 [0.666667,0.75] precision 0.555556 [0.333333,0.666667] precision 0.555556 [0.333333,0.666667] precision 0.866667 [0.8,0.9] precision 0.733333 [0.6,0.8] precision 0.685185 [0.5,0.777778] precision 0.555556 [0.333333,0.666667] precision 0.722222 [0.666667,0.75] precision 0.685185 [0.5,0.777778] precision 0.866667 [0.8,0.9] precision 0.628205 [0.5,0.692308] precision 0.77381 [0.571429,0.875] precision 0.888889 [1,0.833333] precision 0.6 [0.4,0.7] precision 0.809524 [1,0.714286] precision 0.628205 [0.5,0.692308] precision 0.866667 [0.8,0.9] precision 0.628205 [0.5,0.692308] precision 0.738095 [0.5,0.857143] precision 0.888889 [1,0.833333] precision 0.814815 [0.666667,0.888889] precision 0.628205 [0.5,0.692308] precision 0.846154 [1,0.769231] precision 0.6 [0.4,0.7] precision 0.809524 [1,0.714286] precision 0.846154 [1,0.769231] precision 0.651515 [0.5,0.727273] precision 0.795455 [0.75,0.818182] precision 0.809524 [1,0.714286] precision 0.651515 [0.5,0.727273] precision 0.866667 [0.8,0.9] precision 0.628205 [0.5,0.692308] precision 0.685185 [0.5,0.777778] precision 0.651515 [0.5,0.727273] precision 0.809524 [1,0.714286] precision 0.888889 [1,0.833333] precision 0.651515 [0.5,0.727273] precision 0.944444 [0.833333,1] precision 0.809524 [1,0.714286] precision 0.795455 [0.75,0.818182] precision 0.866667 [0.8,0.9] precision 0.77381 [0.571429,0.875] precision 0.846154 [1,0.769231] precision 0.651515 [0.5,0.727273] precision 0.814815 [0.666667,0.888889] precision 0.866667 [0.8,0.9] precision 0.651515 [0.5,0.727273] precision 0.685185 [0.5,0.777778] precision 0.846154 [1,0.769231] precision 0.846154 [1,0.769231] precision 0.722222 [0.666667,0.75] precision 0.722222 [0.666667,0.75] precision 0.866667 [0.8,0.9] precision 0.6 [0.4,0.7] precision 0.651515 [0.5,0.727273] precision 0.904762 [0.714286,1] precision 0.6 [0.4,0.7] precision 0.555556 [0.333333,0.666667] precision 0.722222 [0.666667,0.75] precision 0.722222 [0.666667,0.75] precision 0.795455 [0.75,0.818182] precision 0.795455 [0.75,0.818182] precision 0.6 [0.4,0.7] precision 0.939394 [1,0.909091] precision 0.809524 [1,0.714286] precision 0.428571 [0,0.642857] precision 0.795455 [0.75,0.818182] precision 0.809524 [1,0.714286] precision 0.814815 [0.666667,0.888889] precision 0.651515 [0.5,0.727273] precision 0.733333 [0.666667,0.777778] precision 0.866667 [0.833333,0.888889] precision 0.733333 [0.666667,0.777778] precision 0.85 [1,0.75] precision 0.810714 [0.714286,0.875] precision 0.733333 [0.6,0.8] precision 0.8 [0.8,0.8] precision 0.814815 [0.666667,0.888889] precision 0.866667 [0.833333,0.888889] precision 0.733333 [0.6,0.8] predictive_accuracy 0.5 predictive_accuracy 0.8125 predictive_accuracy 0.6875 predictive_accuracy 0.8125 predictive_accuracy 0.625 predictive_accuracy 0.6875 predictive_accuracy 0.8125 predictive_accuracy 0.6875 predictive_accuracy 0.6875 predictive_accuracy 0.625 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.466667 predictive_accuracy 0.533333 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.533333 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.666667 predictive_accuracy 0.666667 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.6 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.733333 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.6 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.666667 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.733333 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 prior_entropy 0.930817 recall 0.5 [0.166667,0.7] recall 0.8125 [0.5,1] recall 0.6875 [0.666667,0.7] recall 0.8125 [0.666667,0.9] recall 0.625 [0.333333,0.8] recall 0.6875 [0.5,0.8] recall 0.8125 [0.833333,0.8] recall 0.6875 [0.666667,0.7] recall 0.6875 [0.333333,0.9] recall 0.625 [0.333333,0.8] recall 0.6 [0.4,0.7] recall 0.666667 [0.6,0.7] recall 0.666667 [0.4,0.8] recall 0.733333 [0.4,0.9] recall 0.466667 [0.6,0.4] recall 0.533333 [0.5,0.555556] recall 0.8 [0.4,1] recall 0.666667 [0.5,0.777778] recall 0.6 [0.6,0.6] recall 0.533333 [0.666667,0.444444] recall 0.733333 [0.4,0.9] recall 0.6 [0.2,0.8] recall 0.6 [0.2,0.8] recall 0.866667 [0.8,0.9] recall 0.733333 [0.6,0.8] recall 0.666667 [0.6,0.7] recall 0.6 [0.2,0.8] recall 0.733333 [0.4,0.9] recall 0.666667 [0.6,0.7] recall 0.866667 [0.8,0.9] recall 0.666667 [0.2,0.9] recall 0.733333 [0.8,0.7] recall 0.866667 [0.6,1] recall 0.6 [0.4,0.7] recall 0.733333 [0.2,1] recall 0.666667 [0.2,0.9] recall 0.866667 [0.8,0.9] recall 0.666667 [0.2,0.9] recall 0.666667 [0.8,0.6] recall 0.866667 [0.6,1] recall 0.8 [0.8,0.8] recall 0.666667 [0.2,0.9] recall 0.8 [0.4,1] recall 0.6 [0.4,0.7] recall 0.733333 [0.2,1] recall 0.8 [0.4,1] recall 0.666667 [0.4,0.8] recall 0.8 [0.6,0.9] recall 0.733333 [0.2,1] recall 0.666667 [0.4,0.8] recall 0.866667 [0.8,0.9] recall 0.666667 [0.2,0.9] recall 0.666667 [0.6,0.7] recall 0.666667 [0.4,0.8] recall 0.733333 [0.2,1] recall 0.866667 [0.6,1] recall 0.666667 [0.4,0.8] recall 0.933333 [1,0.9] recall 0.733333 [0.2,1] recall 0.8 [0.6,0.9] recall 0.866667 [0.8,0.9] recall 0.733333 [0.8,0.7] recall 0.8 [0.4,1] recall 0.666667 [0.4,0.8] recall 0.8 [0.8,0.8] recall 0.866667 [0.8,0.9] recall 0.666667 [0.4,0.8] recall 0.666667 [0.6,0.7] recall 0.8 [0.4,1] recall 0.8 [0.4,1] recall 0.733333 [0.4,0.9] recall 0.733333 [0.4,0.9] recall 0.866667 [0.8,0.9] recall 0.6 [0.4,0.7] recall 0.666667 [0.4,0.8] recall 0.866667 [1,0.8] recall 0.6 [0.4,0.7] recall 0.6 [0.2,0.8] recall 0.733333 [0.4,0.9] recall 0.733333 [0.4,0.9] recall 0.8 [0.6,0.9] recall 0.8 [0.6,0.9] recall 0.6 [0.4,0.7] recall 0.933333 [0.8,1] recall 0.733333 [0.2,1] recall 0.6 [0,0.9] recall 0.8 [0.6,0.9] recall 0.733333 [0.2,1] recall 0.8 [0.8,0.8] recall 0.666667 [0.4,0.8] recall 0.733333 [0.666667,0.777778] recall 0.866667 [0.833333,0.888889] recall 0.733333 [0.666667,0.777778] recall 0.8 [0.5,1] recall 0.8 [0.833333,0.777778] recall 0.733333 [0.6,0.8] recall 0.8 [0.666667,0.888889] recall 0.8 [0.8,0.8] recall 0.866667 [0.833333,0.888889] recall 0.733333 [0.6,0.8] relative_absolute_error 1.036477 relative_absolute_error 0.82332 relative_absolute_error 0.903582 relative_absolute_error 0.808173 relative_absolute_error 0.935703 relative_absolute_error 0.91854 relative_absolute_error 0.828935 relative_absolute_error 0.892223 relative_absolute_error 0.884668 relative_absolute_error 0.941335 relative_absolute_error 0.945043 relative_absolute_error 0.911605 relative_absolute_error 0.915655 relative_absolute_error 0.859345 relative_absolute_error 1.138145 relative_absolute_error 0.988285 relative_absolute_error 0.820086 relative_absolute_error 0.900422 relative_absolute_error 0.952808 relative_absolute_error 1.021125 relative_absolute_error 0.845407 relative_absolute_error 0.992483 relative_absolute_error 0.966351 relative_absolute_error 0.794275 relative_absolute_error 0.889702 relative_absolute_error 0.913729 relative_absolute_error 0.995635 relative_absolute_error 0.861336 relative_absolute_error 0.976587 relative_absolute_error 0.819703 relative_absolute_error 0.919899 relative_absolute_error 0.848667 relative_absolute_error 0.74569 relative_absolute_error 0.97199 relative_absolute_error 0.836961 relative_absolute_error 0.892276 relative_absolute_error 0.76659 relative_absolute_error 0.907466 relative_absolute_error 0.973328 relative_absolute_error 0.762332 relative_absolute_error 0.85319 relative_absolute_error 0.907466 relative_absolute_error 0.825235 relative_absolute_error 0.967938 relative_absolute_error 0.861092 relative_absolute_error 0.820086 relative_absolute_error 0.954703 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