OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.7822, kappa: 0.5607, kb_relative_information_score: 1599.2991, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7825, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.6025, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7864, kappa: 0.5692, kb_relative_information_score: 1511.0448, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7868, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.7813, kappa: 0.5587, kb_relative_information_score: 1389.7892, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7818, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7756, kappa: 0.5472, kb_relative_information_score: 1228.1318, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7762, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7755, kappa: 0.5471, kb_relative_information_score: 1359.9654, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7758, predictive_accuracy: 0.7761, prior_entropy: 0.9948, recall: 0.7761, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7864, kappa: 0.5692, kb_relative_information_score: 1511.0448, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7868, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7863, kappa: 0.569, kb_relative_information_score: 1607.0189, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7864, predictive_accuracy: 0.7867, prior_entropy: 0.9948, recall: 0.7867, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7947, kappa: 0.5858, kb_relative_information_score: 1732.8401, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7951, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7924, kappa: 0.5812, kb_relative_information_score: 1799.0715, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7926, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7936, kappa: 0.5839, kb_relative_information_score: 1897.7297, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7937, predictive_accuracy: 0.7939, prior_entropy: 0.9948, recall: 0.7939, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.7999, kappa: 0.5964, kb_relative_information_score: 1981.7937, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7984, kappa: 0.5933, kb_relative_information_score: 2044.6716, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.809, kappa: 0.6149, kb_relative_information_score: 1957.2539, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.7771, kappa: 0.5503, kb_relative_information_score: 1060.751, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7774, predictive_accuracy: 0.7777, prior_entropy: 0.9948, recall: 0.7777, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8002, kappa: 0.5969, kb_relative_information_score: 1945.8137, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7936, kappa: 0.5837, kb_relative_information_score: 1506.4545, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.794, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8026, kappa: 0.6017, kb_relative_information_score: 2054.913, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8034, kappa: 0.6036, kb_relative_information_score: 2109.914, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7756, kappa: 0.5473, kb_relative_information_score: 151.747, mean_absolute_error: 0.4824, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7757, predictive_accuracy: 0.7761, prior_entropy: 0.9948, recall: 0.7761, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7764, kappa: 0.549, kb_relative_information_score: 452.1672, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7765, predictive_accuracy: 0.7769, prior_entropy: 0.9948, recall: 0.7769, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7806, kappa: 0.5574, kb_relative_information_score: 774.4967, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7809, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8096, kappa: 0.6161, kb_relative_information_score: 1935.0691, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.7805, kappa: 0.5572, kb_relative_information_score: 1003.7779, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7809, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.7771, kappa: 0.5503, kb_relative_information_score: 1060.751, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7774, predictive_accuracy: 0.7777, prior_entropy: 0.9948, recall: 0.7777, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7853, kappa: 0.5668, kb_relative_information_score: 1280.6533, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7858, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.78, kappa: 0.5561, kb_relative_information_score: 1406.2464, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7804, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7868, kappa: 0.5699, kb_relative_information_score: 1514.1281, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.787, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.7869, kappa: 0.5704, kb_relative_information_score: 1558.9809, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.787, predictive_accuracy: 0.7873, prior_entropy: 0.9948, recall: 0.7873, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7803, kappa: 0.5569, kb_relative_information_score: 1643.2285, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7824, kappa: 0.5611, kb_relative_information_score: 1691.9208, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7824, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.7858, kappa: 0.568, kb_relative_information_score: 1750.5586, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7859, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.7754, kappa: 0.5472, kb_relative_information_score: 1749.6181, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7753, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8007, kappa: 0.5979, kb_relative_information_score: 1890.5001, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.5186, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7984, kappa: 0.5933, kb_relative_information_score: 2044.6716, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8013, kappa: 0.5993, kb_relative_information_score: 1974.156, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.7926, kappa: 0.5818, kb_relative_information_score: 1998.1456, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7926, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.7949, kappa: 0.5865, kb_relative_information_score: 2027.045, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.795, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8025, kappa: 0.6017, kb_relative_information_score: 2126.8033, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.7998, kappa: 0.5964, kb_relative_information_score: 2133.4782, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8086, kappa: 0.614, kb_relative_information_score: 1945.1095, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8086, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8005, kappa: 0.5978, kb_relative_information_score: 2148.8798, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8006, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.7979, kappa: 0.5924, kb_relative_information_score: 2096.3317, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7979, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8028, kappa: 0.6023, kb_relative_information_score: 2133.8972, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8019, kappa: 0.6005, kb_relative_information_score: 2136.2221, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8024, kappa: 0.6016, kb_relative_information_score: 2134.6674, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.4376, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.7918, kappa: 0.5803, kb_relative_information_score: 2107.1323, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7918, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.797, kappa: 0.5906, kb_relative_information_score: 2106.6388, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7972, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8133, kappa: 0.6235, kb_relative_information_score: 1846.9572, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8135, predictive_accuracy: 0.8137, prior_entropy: 0.9948, recall: 0.8137, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8016, kappa: 0.5998, kb_relative_information_score: 2119.9422, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.4419, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8013, kappa: 0.5994, kb_relative_information_score: 2135.6434, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.7997, kappa: 0.5961, kb_relative_information_score: 2122.9566, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.8024, kappa: 0.6016, kb_relative_information_score: 2132.2496, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.7994, kappa: 0.5955, kb_relative_information_score: 2228.3387, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8021, kappa: 0.601, kb_relative_information_score: 2027.322, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8022, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7606,
1 likes - 1 downloads - 2 reach - area_under_roc_curve: 0.8834, f_measure: 0.8048, kappa: 0.6063, kb_relative_information_score: 2031.7511, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.807, kappa: 0.6109, kb_relative_information_score: 2088.8217, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.6995, kappa: 0.3936, kb_relative_information_score: 1482.0197, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7004, predictive_accuracy: 0.7011, prior_entropy: 0.9948, recall: 0.7011, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5289, root_relative_squared_error: 1.0617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.811, kappa: 0.6189, kb_relative_information_score: 1843.5185, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.811, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8083, kappa: 0.6134, kb_relative_information_score: 1521.385, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8048, kappa: 0.6063, kb_relative_information_score: 2031.7511, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8083, kappa: 0.6134, kb_relative_information_score: 1503.6996, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8109, kappa: 0.6187, kb_relative_information_score: 1842.1285, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.8027, kappa: 0.6021, kb_relative_information_score: 2057.5453, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8064, kappa: 0.6095, kb_relative_information_score: 2031.1229, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8097, kappa: 0.6162, kb_relative_information_score: 1547.9903, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.6243, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.7892, kappa: 0.5747, kb_relative_information_score: 1582.6875, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7894, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8021, kappa: 0.6008, kb_relative_information_score: 2060.7703, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8023, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8048, kappa: 0.6063, kb_relative_information_score: 2031.7511, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.754, kappa: 0.5039, kb_relative_information_score: 1581.964, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.8027, kappa: 0.6021, kb_relative_information_score: 2057.5453, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8109, kappa: 0.6187, kb_relative_information_score: 1842.1285, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8014, kappa: 0.5992, kb_relative_information_score: 716.9877, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8032, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8064, kappa: 0.6095, kb_relative_information_score: 2031.1229, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8014, kappa: 0.5992, kb_relative_information_score: 716.9877, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8032, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7897, kappa: 0.5761, kb_relative_information_score: 1705.1765, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8021, kappa: 0.6008, kb_relative_information_score: 2060.7703, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8023, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.7932, kappa: 0.583, kb_relative_information_score: 1918.8261, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7934, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8096, kappa: 0.616, kb_relative_information_score: 1856.7432, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8053, kappa: 0.6073, kb_relative_information_score: 1984.3573, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8054, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8039, kappa: 0.6045, kb_relative_information_score: 2020.4187, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8008, kappa: 0.5982, kb_relative_information_score: 2027.6545, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7993, kappa: 0.5953, kb_relative_information_score: 2091.3279, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8111, kappa: 0.6191, kb_relative_information_score: 1865.056, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8114, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8049, kappa: 0.6065, kb_relative_information_score: 2034.0015, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8061, kappa: 0.6089, kb_relative_information_score: 2057.9508, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8049, kappa: 0.6065, kb_relative_information_score: 2034.0015, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8049, kappa: 0.6065, kb_relative_information_score: 2034.0015, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8048, kappa: 0.6062, kb_relative_information_score: 2039.1431, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8131, kappa: 0.6231, kb_relative_information_score: 1621.9733, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8132, predictive_accuracy: 0.8134, prior_entropy: 0.9948, recall: 0.8134, relative_absolute_error: 0.603, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7959, kappa: 0.5884, kb_relative_information_score: 1360.4594, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7961, predictive_accuracy: 0.7963, prior_entropy: 0.9948, recall: 0.7963, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8096, kappa: 0.6161, kb_relative_information_score: 1621.7961, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.603, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.7973, kappa: 0.5912, kb_relative_information_score: 2024.0162, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7974, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8093, kappa: 0.6154, kb_relative_information_score: 1638.106, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8095, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.811, kappa: 0.6188, kb_relative_information_score: 1859.7002, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.754, kappa: 0.5039, kb_relative_information_score: 1581.964, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.754, kappa: 0.5039, kb_relative_information_score: 1581.9659, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8034, kappa: 0.6034, kb_relative_information_score: 2035.4142, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8047, kappa: 0.6061, kb_relative_information_score: 2018.289, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.754, kappa: 0.5039, kb_relative_information_score: 1581.9704, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.7963, kappa: 0.589, kb_relative_information_score: 858.7409, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8429,

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