Task
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 14672 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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14672 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5131, kappa: 0.0261, kb_relative_information_score: 0.0523, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0636, prior_entropy: 4.7004, recall: 0.0636, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2684, root_relative_squared_error: 1.3956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, kappa: 0.785, kb_relative_information_score: 0.7907, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7933, prior_entropy: 4.7004, recall: 0.7933, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.6558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9685, kappa: 0.9672, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9686, predictive_accuracy: 0.9684, prior_entropy: 4.7004, recall: 0.9684, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.2562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, kappa: 0.7811, kb_relative_information_score: 0.7869, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7895, prior_entropy: 4.7004, recall: 0.7895, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.6616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, kappa: -0.0108, kb_relative_information_score: 0.0164, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0281, prior_entropy: 4.7004, recall: 0.0281, relative_absolute_error: 1.0108, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2734, root_relative_squared_error: 1.4218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9692, kappa: 0.968, kb_relative_information_score: 0.9688, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9695, predictive_accuracy: 0.9692, prior_entropy: 4.7004, recall: 0.9692, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.5641, kappa: 0.5222, kb_relative_information_score: 0.5351, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.6246, predictive_accuracy: 0.5406, prior_entropy: 4.7004, recall: 0.5406, relative_absolute_error: 0.4778, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.188, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.722, kappa: 0.697, kb_relative_information_score: 0.7051, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7532, predictive_accuracy: 0.7086, prior_entropy: 4.7004, recall: 0.7086, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.7785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8844, kappa: 0.8804, kb_relative_information_score: 0.8836, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8881, predictive_accuracy: 0.885, prior_entropy: 4.7004, recall: 0.885, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.4892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8052, kappa: 0.7865, kb_relative_information_score: 0.7922, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8276, predictive_accuracy: 0.7947, prior_entropy: 4.7004, recall: 0.7947, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.6535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.5654, kappa: 0.5229, kb_relative_information_score: 0.5357, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.6273, predictive_accuracy: 0.5412, prior_entropy: 4.7004, recall: 0.5412, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9614, kappa: 0.9599, kb_relative_information_score: 0.9609, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9619, predictive_accuracy: 0.9614, prior_entropy: 4.7004, recall: 0.9614, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.2834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.971, kappa: 0.9699, kb_relative_information_score: 0.9707, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9711, predictive_accuracy: 0.971, prior_entropy: 4.7004, recall: 0.971, relative_absolute_error: 0.0301, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.2455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.5654, kappa: 0.5229, kb_relative_information_score: 0.5357, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.6273, predictive_accuracy: 0.5412, prior_entropy: 4.7004, recall: 0.5412, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9753, kappa: 0.9743, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9754, predictive_accuracy: 0.9752, prior_entropy: 4.7004, recall: 0.9752, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.2269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9686, kappa: 0.9673, kb_relative_information_score: 0.9682, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9687, predictive_accuracy: 0.9686, prior_entropy: 4.7004, recall: 0.9686, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.2557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7417, kappa: 0.632, kb_relative_information_score: 0.6419, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9353, predictive_accuracy: 0.6461, prior_entropy: 4.7004, recall: 0.6461, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.165, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, kappa: 0.7848, kb_relative_information_score: 0.7905, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7931, prior_entropy: 4.7004, recall: 0.7931, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, kappa: 0.0265, kb_relative_information_score: 0.0527, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.064, prior_entropy: 4.7004, recall: 0.064, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2683, root_relative_squared_error: 1.3953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, kappa: 0.0265, kb_relative_information_score: 0.0527, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.064, prior_entropy: 4.7004, recall: 0.064, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2683, root_relative_squared_error: 1.3953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9683, kappa: 0.9671, kb_relative_information_score: 0.9679, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9686, predictive_accuracy: 0.9683, prior_entropy: 4.7004, recall: 0.9683, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.2567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9685, kappa: 0.9672, kb_relative_information_score: 0.9681, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9686, predictive_accuracy: 0.9684, prior_entropy: 4.7004, recall: 0.9684, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.2562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5085, kappa: 0.0171, kb_relative_information_score: 0.0435, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0549, prior_entropy: 4.7004, recall: 0.0549, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2696, root_relative_squared_error: 1.4021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9564, kappa: 0.9546, kb_relative_information_score: 0.9559, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9571, predictive_accuracy: 0.9564, prior_entropy: 4.7004, recall: 0.9564, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.3012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.5105, kappa: 0.382, kb_relative_information_score: 0.3986, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9068, predictive_accuracy: 0.4058, prior_entropy: 4.7004, recall: 0.4058, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2138, root_relative_squared_error: 1.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, kappa: 0.0265, kb_relative_information_score: 0.0527, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.064, prior_entropy: 4.7004, recall: 0.064, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2683, root_relative_squared_error: 1.3953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, kappa: 0.841, kb_relative_information_score: 0.8452, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.8471, prior_entropy: 4.7004, recall: 0.8471, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.5639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9564, kappa: 0.9546, kb_relative_information_score: 0.9559, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9571, predictive_accuracy: 0.9564, prior_entropy: 4.7004, recall: 0.9564, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.3012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9564, kappa: 0.9546, kb_relative_information_score: 0.9559, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9571, predictive_accuracy: 0.9564, prior_entropy: 4.7004, recall: 0.9564, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.3012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9469, kappa: 0.9448, kb_relative_information_score: 0.9463, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9473, predictive_accuracy: 0.9469, prior_entropy: 4.7004, recall: 0.9469, relative_absolute_error: 0.0552, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.3323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.5105, kappa: 0.382, kb_relative_information_score: 0.3986, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9068, predictive_accuracy: 0.4058, prior_entropy: 4.7004, recall: 0.4058, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2138, root_relative_squared_error: 1.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9611, kappa: 0.9595, kb_relative_information_score: 0.9605, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9616, predictive_accuracy: 0.961, prior_entropy: 4.7004, recall: 0.961, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9366, kappa: 0.9342, kb_relative_information_score: 0.936, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9378, predictive_accuracy: 0.9368, prior_entropy: 4.7004, recall: 0.9368, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.3627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9469, kappa: 0.9448, kb_relative_information_score: 0.9463, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9473, predictive_accuracy: 0.9469, prior_entropy: 4.7004, recall: 0.9469, relative_absolute_error: 0.0552, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.3323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9683, kappa: 0.9671, kb_relative_information_score: 0.9679, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9686, predictive_accuracy: 0.9683, prior_entropy: 4.7004, recall: 0.9683, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.2567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, kappa: 0.841, kb_relative_information_score: 0.8452, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.8471, prior_entropy: 4.7004, recall: 0.8471, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.5639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, kappa: 0.7876, kb_relative_information_score: 0.7933, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7958, prior_entropy: 4.7004, recall: 0.7958, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, kappa: 0.0265, kb_relative_information_score: 0.0527, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.064, prior_entropy: 4.7004, recall: 0.064, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2683, root_relative_squared_error: 1.3953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9611, kappa: 0.9595, kb_relative_information_score: 0.9605, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9616, predictive_accuracy: 0.961, prior_entropy: 4.7004, recall: 0.961, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.946, kappa: 0.9438, kb_relative_information_score: 0.9454, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9469, predictive_accuracy: 0.946, prior_entropy: 4.7004, recall: 0.946, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9086, kappa: 0.9048, kb_relative_information_score: 0.9073, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9112, predictive_accuracy: 0.9084, prior_entropy: 4.7004, recall: 0.9084, relative_absolute_error: 0.0952, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.4364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9086, kappa: 0.9048, kb_relative_information_score: 0.9073, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9112, predictive_accuracy: 0.9084, prior_entropy: 4.7004, recall: 0.9084, relative_absolute_error: 0.0952, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.4364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, kappa: 0.7848, kb_relative_information_score: 0.7905, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7931, prior_entropy: 4.7004, recall: 0.7931, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.946, kappa: 0.9438, kb_relative_information_score: 0.9454, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9469, predictive_accuracy: 0.946, prior_entropy: 4.7004, recall: 0.946, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9469, kappa: 0.9448, kb_relative_information_score: 0.9463, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9473, predictive_accuracy: 0.9469, prior_entropy: 4.7004, recall: 0.9469, relative_absolute_error: 0.0552, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.3323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8973, kappa: 0.8936, kb_relative_information_score: 0.8964, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8998, predictive_accuracy: 0.8977, prior_entropy: 4.7004, recall: 0.8977, relative_absolute_error: 0.1064, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.6219, kappa: 0.4835, kb_relative_information_score: 0.4974, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9338, predictive_accuracy: 0.5034, prior_entropy: 4.7004, recall: 0.5034, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1954, root_relative_squared_error: 1.0163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9721, kappa: 0.9709, kb_relative_information_score: 0.9717, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9722, predictive_accuracy: 0.972, prior_entropy: 4.7004, recall: 0.972, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.2412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9082, kappa: 0.9048, kb_relative_information_score: 0.9073, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9105, predictive_accuracy: 0.9084, prior_entropy: 4.7004, recall: 0.9084, relative_absolute_error: 0.0952, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.4364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9709, kappa: 0.9697, kb_relative_information_score: 0.9705, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9713, predictive_accuracy: 0.9709, prior_entropy: 4.7004, recall: 0.9709, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.2461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9366, kappa: 0.9342, kb_relative_information_score: 0.936, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9378, predictive_accuracy: 0.9368, prior_entropy: 4.7004, recall: 0.9368, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.3627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9683, kappa: 0.9671, kb_relative_information_score: 0.9679, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9686, predictive_accuracy: 0.9683, prior_entropy: 4.7004, recall: 0.9683, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.2567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9709, kappa: 0.9697, kb_relative_information_score: 0.9705, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9713, predictive_accuracy: 0.9709, prior_entropy: 4.7004, recall: 0.9709, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.2461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7247, kappa: 0.6948, kb_relative_information_score: 0.703, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7648, predictive_accuracy: 0.7066, prior_entropy: 4.7004, recall: 0.7066, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.7813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9709, kappa: 0.9697, kb_relative_information_score: 0.9705, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9713, predictive_accuracy: 0.9709, prior_entropy: 4.7004, recall: 0.9709, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.2461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, kappa: 0.0539, kb_relative_information_score: 0.0793, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0903, prior_entropy: 4.7004, recall: 0.0903, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2645, root_relative_squared_error: 1.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, kappa: 0.0421, kb_relative_information_score: 0.0678, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0789, prior_entropy: 4.7004, recall: 0.0789, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2662, root_relative_squared_error: 1.3842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, kappa: 0.0265, kb_relative_information_score: 0.0527, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.064, prior_entropy: 4.7004, recall: 0.064, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2683, root_relative_squared_error: 1.3953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9564, kappa: 0.9546, kb_relative_information_score: 0.9559, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9571, predictive_accuracy: 0.9564, prior_entropy: 4.7004, recall: 0.9564, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.3012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8352, kappa: 0.8354, kb_relative_information_score: 0.8398, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8573, predictive_accuracy: 0.8417, prior_entropy: 4.7004, recall: 0.8417, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.5738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9728, kappa: 0.9717, kb_relative_information_score: 0.9725, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.973, predictive_accuracy: 0.9728, prior_entropy: 4.7004, recall: 0.9728, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.2378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9698, kappa: 0.9685, kb_relative_information_score: 0.9694, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.97, predictive_accuracy: 0.9697, prior_entropy: 4.7004, recall: 0.9697, relative_absolute_error: 0.0315, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7247, kappa: 0.6948, kb_relative_information_score: 0.703, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7648, predictive_accuracy: 0.7066, prior_entropy: 4.7004, recall: 0.7066, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.7813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, kappa: 0.2944, kb_relative_information_score: 0.3133, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.3215, prior_entropy: 4.7004, recall: 0.3215, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2285, root_relative_squared_error: 1.1879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9698, kappa: 0.9685, kb_relative_information_score: 0.9694, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.97, predictive_accuracy: 0.9697, prior_entropy: 4.7004, recall: 0.9697, relative_absolute_error: 0.0315, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9722, kappa: 0.9711, kb_relative_information_score: 0.9718, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 4.7004, recall: 0.9722, relative_absolute_error: 0.0289, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.2406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9698, kappa: 0.9685, kb_relative_information_score: 0.9694, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.97, predictive_accuracy: 0.9697, prior_entropy: 4.7004, recall: 0.9697, relative_absolute_error: 0.0315, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9493, kappa: 0.9473, kb_relative_information_score: 0.9487, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9501, predictive_accuracy: 0.9493, prior_entropy: 4.7004, recall: 0.9493, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.3246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9721, kappa: 0.9709, kb_relative_information_score: 0.9717, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9722, predictive_accuracy: 0.972, prior_entropy: 4.7004, recall: 0.972, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.2412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8442, kappa: 0.821, kb_relative_information_score: 0.8258, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8708, predictive_accuracy: 0.8279, prior_entropy: 4.7004, recall: 0.8279, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.5983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9698, kappa: 0.9685, kb_relative_information_score: 0.9694, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.97, predictive_accuracy: 0.9697, prior_entropy: 4.7004, recall: 0.9697, relative_absolute_error: 0.0315, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0007, kb_relative_information_score: 0.0262, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0378, prior_entropy: 4.7004, recall: 0.0378, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2721, root_relative_squared_error: 1.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0007, kb_relative_information_score: 0.0262, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0378, prior_entropy: 4.7004, recall: 0.0378, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2721, root_relative_squared_error: 1.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0007, kb_relative_information_score: 0.0262, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0378, prior_entropy: 4.7004, recall: 0.0378, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2721, root_relative_squared_error: 1.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0007, kb_relative_information_score: 0.0262, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0378, prior_entropy: 4.7004, recall: 0.0378, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2721, root_relative_squared_error: 1.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8702, kappa: 0.8657, kb_relative_information_score: 0.8693, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8768, predictive_accuracy: 0.8708, prior_entropy: 4.7004, recall: 0.8708, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.5183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.7857, kappa: 0.7758, kb_relative_information_score: 0.7818, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7945, predictive_accuracy: 0.7844, prior_entropy: 4.7004, recall: 0.7844, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.6697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9363, kappa: 0.934, kb_relative_information_score: 0.9357, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9365, prior_entropy: 4.7004, recall: 0.9365, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9729, kappa: 0.9719, kb_relative_information_score: 0.9726, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9731, predictive_accuracy: 0.9729, prior_entropy: 4.7004, recall: 0.9729, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.2373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9363, kappa: 0.934, kb_relative_information_score: 0.9357, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9365, prior_entropy: 4.7004, recall: 0.9365, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.7857, kappa: 0.7758, kb_relative_information_score: 0.7818, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7945, predictive_accuracy: 0.7844, prior_entropy: 4.7004, recall: 0.7844, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.6697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0007, kb_relative_information_score: 0.0262, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0378, prior_entropy: 4.7004, recall: 0.0378, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2721, root_relative_squared_error: 1.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, kappa: 0.7854, kb_relative_information_score: 0.7911, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7936, prior_entropy: 4.7004, recall: 0.7936, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.126, root_relative_squared_error: 0.6552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, kappa: 0.0098, kb_relative_information_score: 0.0364, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0478, prior_entropy: 4.7004, recall: 0.0478, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2706, root_relative_squared_error: 1.4073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9617, kappa: 0.9597, kb_relative_information_score: 0.9608, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9634, predictive_accuracy: 0.9613, prior_entropy: 4.7004, recall: 0.9613, relative_absolute_error: 0.0403, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0546, root_relative_squared_error: 0.2838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9729, kappa: 0.9719, kb_relative_information_score: 0.9726, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9731, predictive_accuracy: 0.9729, prior_entropy: 4.7004, recall: 0.9729, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.2373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, kappa: 0.7854, kb_relative_information_score: 0.7911, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7936, prior_entropy: 4.7004, recall: 0.7936, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.126, root_relative_squared_error: 0.6552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9729, kappa: 0.9719, kb_relative_information_score: 0.9726, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9731, predictive_accuracy: 0.9729, prior_entropy: 4.7004, recall: 0.9729, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.2373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, f_measure: 0.3199, kappa: 0.2585, kb_relative_information_score: 0.2785, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.421, predictive_accuracy: 0.287, prior_entropy: 4.7004, recall: 0.287, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2342, root_relative_squared_error: 1.2178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, kappa: 0.0117, kb_relative_information_score: 0.0383, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0498, prior_entropy: 4.7004, recall: 0.0498, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2704, root_relative_squared_error: 1.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, kappa: 0.7851, kb_relative_information_score: 0.7908, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7934, prior_entropy: 4.7004, recall: 0.7934, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.6556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kappa: 0.006, kb_relative_information_score: 0.0327, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0442, prior_entropy: 4.7004, recall: 0.0442, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2711, root_relative_squared_error: 1.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9363, kappa: 0.934, kb_relative_information_score: 0.9357, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9375, predictive_accuracy: 0.9365, prior_entropy: 4.7004, recall: 0.9365, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, kappa: 0.7851, kb_relative_information_score: 0.7908, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7934, prior_entropy: 4.7004, recall: 0.7934, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.6556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9628, kappa: 0.9613, kb_relative_information_score: 0.9624, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9631, predictive_accuracy: 0.9628, prior_entropy: 4.7004, recall: 0.9628, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.2781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.846, kappa: 0.7878, kb_relative_information_score: 0.7935, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9363, predictive_accuracy: 0.7959, prior_entropy: 4.7004, recall: 0.7959, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.7802, kappa: 0.7953, kb_relative_information_score: 0.8007, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7938, predictive_accuracy: 0.8031, prior_entropy: 4.7004, recall: 0.8031, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, kappa: 0.7855, kb_relative_information_score: 0.7912, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.7938, prior_entropy: 4.7004, recall: 0.7938, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.126, root_relative_squared_error: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9312, kappa: 0.9286, kb_relative_information_score: 0.9306, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9326, predictive_accuracy: 0.9314, prior_entropy: 4.7004, recall: 0.9314, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9628, kappa: 0.9613, kb_relative_information_score: 0.9624, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9631, predictive_accuracy: 0.9628, prior_entropy: 4.7004, recall: 0.9628, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.2781,

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

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From your own software

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

OpenML APIs