OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4580 runs submitted
0 likes downloaded by 21 people , 45 total downloads 0 issues
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4580 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 137.3736, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.6821, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 127.5818, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.5671, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.2642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1469, kb_relative_information_score: 0.68, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.4758, kappa: 0.26, kb_relative_information_score: 44.9136, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4543, predictive_accuracy: 0.5067, prior_entropy: 1.585, recall: 0.5067, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 131.794, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 133.9807, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1425, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.2946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 134.1016, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4713, kb_relative_information_score: 1.3344, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 128.8287, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.4688, kappa: 0.3, kb_relative_information_score: 48.1429, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4306, predictive_accuracy: 0.5333, prior_entropy: 1.585, recall: 0.5333, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 125.1659, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.9283, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9188, kappa: 0.88, kb_relative_information_score: 126.9563, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9197, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.9451, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.2623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 127.8914, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, kappa: 0.36, kb_relative_information_score: 2.4193, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.5733, prior_entropy: 1.585, recall: 0.5733, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 99.2459, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 127.4465, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 131.7125, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.3105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 132.4567, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.141, root_relative_squared_error: 0.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 109.3561, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.235, root_relative_squared_error: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 125.1585, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 125.9618, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8265, kappa: 0.74, kb_relative_information_score: 100.0278, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8267, predictive_accuracy: 0.8267, prior_entropy: 1.585, recall: 0.8267, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.6038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9261, kappa: 0.89, kb_relative_information_score: 106.5241, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9271, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.5167, kappa: 0.35, kb_relative_information_score: 73.9818, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4948, predictive_accuracy: 0.5667, prior_entropy: 1.585, recall: 0.5667, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9604, kappa: 0.94, kb_relative_information_score: 108.7865, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9643, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.4859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 127.7276, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.5762, kappa: 0.52, kb_relative_information_score: 40.7156, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8156, predictive_accuracy: 0.68, prior_entropy: 1.585, recall: 0.68, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 129.0319, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 136.9653, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.2468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1263, kb_relative_information_score: 0.4581, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8319, kappa: 0.76, kb_relative_information_score: 31.4888, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8816, predictive_accuracy: 0.84, prior_entropy: 1.585, recall: 0.84, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1665, kb_relative_information_score: -0.17, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.4049, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.361, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.2501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 134.33, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.2725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: -0.0021, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1695, kb_relative_information_score: 0.4061, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 136.5879, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.3781, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, kappa: 0.5, kb_relative_information_score: 0.7702, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1692, kb_relative_information_score: 0.3882, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 135.8629, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.2857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.397, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.123, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.2636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 122.2368, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 135.5772, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1299, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.129, root_relative_squared_error: 0.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.6909, kappa: 0.55, kb_relative_information_score: 57.7694, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6889, predictive_accuracy: 0.7, prior_entropy: 1.585, recall: 0.7, relative_absolute_error: 0.7081, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 127.5567, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.6598, kappa: 0.56, kb_relative_information_score: 24.9803, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7411, predictive_accuracy: 0.7067, prior_entropy: 1.585, recall: 0.7067, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.428, root_relative_squared_error: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 135.3441, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9464, kappa: 0.92, kb_relative_information_score: 131.061, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9465, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.5914, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9281, kappa: 0.89, kb_relative_information_score: 77.6063, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9399, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 129.8062, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9192, kappa: 0.88, kb_relative_information_score: 101.1228, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9306, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.5614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 134.2894, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.2869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 127.8725, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 133.1383, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.2881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 135.2246, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.9367, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.94, kappa: 0.91, kb_relative_information_score: 128.4464, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.1733, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9753, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.2516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 128.6924, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.954, kappa: 0.93, kb_relative_information_score: 92.1293, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9591, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.6077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.6938, kappa: 0.55, kb_relative_information_score: 71.6107, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6933, predictive_accuracy: 0.7, prior_entropy: 1.585, recall: 0.7, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.92, kappa: 0.88, kb_relative_information_score: 126.7876, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 134.4737, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, kb_relative_information_score: 1.3785, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9469, kappa: 0.92, kb_relative_information_score: 129.2429, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9475, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.6484, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9536, kappa: 0.93, kb_relative_information_score: 128.4845, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9547, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9263, kappa: 0.89, kb_relative_information_score: 105.4249, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9319, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.5285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 137.2013, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9262, kappa: 0.89, kb_relative_information_score: 124.6449, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9329, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 124.0027, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9329, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.6104, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.2626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.3596, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1667, kappa: -0.5, kb_relative_information_score: -0.9757, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 123.2257, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9329, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 136.881, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.2534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.4692, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.2767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.8465, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 134.004, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.2865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.2265, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.2642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8653, kappa: 0.8, kb_relative_information_score: 85.0197, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.875, predictive_accuracy: 0.8667, prior_entropy: 1.585, recall: 0.8667, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.486, kappa: 0.24, kb_relative_information_score: 53.6947, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4793, predictive_accuracy: 0.4933, prior_entropy: 1.585, recall: 0.4933, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.8097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 121.8716, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9329, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, kb_relative_information_score: 1.1252, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.5338, kappa: 0.32, kb_relative_information_score: 40.4249, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5348, predictive_accuracy: 0.5467, prior_entropy: 1.585, recall: 0.5467, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.42, root_relative_squared_error: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 131.3659, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.5906, kappa: 0.45, kb_relative_information_score: 53.0282, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6064, predictive_accuracy: 0.6333, prior_entropy: 1.585, recall: 0.6333, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8492,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs