Task
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 19004 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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19004 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.7585, kappa: 0.2041, kb_relative_information_score: 197.493, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7523, predictive_accuracy: 0.7662, prior_entropy: 0.7088, recall: 0.7662, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4375, root_relative_squared_error: 1.1075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.7597, kappa: 0.2112, kb_relative_information_score: 233.0283, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7543, predictive_accuracy: 0.7661, prior_entropy: 0.7088, recall: 0.7661, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.442, root_relative_squared_error: 1.1189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.7684, kappa: 0.2141, kb_relative_information_score: 256.157, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7587, predictive_accuracy: 0.7857, prior_entropy: 0.7088, recall: 0.7857, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4065, root_relative_squared_error: 1.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.7702, kappa: 0.2283, kb_relative_information_score: 289.0471, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7616, predictive_accuracy: 0.7835, prior_entropy: 0.7088, recall: 0.7835, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4085, root_relative_squared_error: 1.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.7717, kappa: 0.2245, kb_relative_information_score: 224.214, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7623, predictive_accuracy: 0.7891, prior_entropy: 0.7088, recall: 0.7891, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4007, root_relative_squared_error: 1.0143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.7706, kappa: 0.2203, kb_relative_information_score: 213.5949, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.761, predictive_accuracy: 0.7882, prior_entropy: 0.7088, recall: 0.7882, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.401, root_relative_squared_error: 1.0152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.7596, kappa: 0.2115, kb_relative_information_score: 197.0291, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7544, predictive_accuracy: 0.7657, prior_entropy: 0.7088, recall: 0.7657, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4442, root_relative_squared_error: 1.1245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.7611, kappa: 0.1991, kb_relative_information_score: 154.7494, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.752, predictive_accuracy: 0.7741, prior_entropy: 0.7088, recall: 0.7741, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4184, root_relative_squared_error: 1.0592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7643, kappa: 0.2164, kb_relative_information_score: 238.7354, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7567, predictive_accuracy: 0.7745, prior_entropy: 0.7088, recall: 0.7745, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.0753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.7712, kappa: 0.2222, kb_relative_information_score: 107.5783, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7617, predictive_accuracy: 0.7889, prior_entropy: 0.7088, recall: 0.7889, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4016, root_relative_squared_error: 1.0166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7769, kappa: 0.2078, kb_relative_information_score: 745.7963, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7898, predictive_accuracy: 0.8195, prior_entropy: 0.7088, recall: 0.8195, relative_absolute_error: 0.8455, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7748, kappa: 0.2013, kb_relative_information_score: 686.5457, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7838, predictive_accuracy: 0.8167, prior_entropy: 0.7088, recall: 0.8167, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.7712, kappa: 0.1861, kb_relative_information_score: 645.0373, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7846, predictive_accuracy: 0.8169, prior_entropy: 0.7088, recall: 0.8169, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7753, kappa: 0.2053, kb_relative_information_score: 0.0641, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7798, predictive_accuracy: 0.8145, prior_entropy: 0.7087, recall: 0.8145, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7735, kappa: 0.1957, kb_relative_information_score: 620.6668, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7834, predictive_accuracy: 0.8165, prior_entropy: 0.7088, recall: 0.8165, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.76, kappa: 0.1432, kb_relative_information_score: 497.9378, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7792, predictive_accuracy: 0.8141, prior_entropy: 0.7088, recall: 0.8141, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7759, kappa: 0.215, kb_relative_information_score: 523.6943, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7717, predictive_accuracy: 0.8076, prior_entropy: 0.7088, recall: 0.8076, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7701, kappa: 0.182, kb_relative_information_score: 622.92, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7829, predictive_accuracy: 0.8162, prior_entropy: 0.7088, recall: 0.8162, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7875, kappa: 0.2563, kb_relative_information_score: 821.5767, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7872, predictive_accuracy: 0.8173, prior_entropy: 0.7088, recall: 0.8173, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.7782, kappa: 0.2163, kb_relative_information_score: 713.7227, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7826, predictive_accuracy: 0.8159, prior_entropy: 0.7088, recall: 0.8159, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.7639, kappa: 0.1572, kb_relative_information_score: 633.3142, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7871, predictive_accuracy: 0.8168, prior_entropy: 0.7088, recall: 0.8168, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.365, root_relative_squared_error: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.7849, kappa: 0.2437, kb_relative_information_score: 783.0003, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7869, predictive_accuracy: 0.8177, prior_entropy: 0.7088, recall: 0.8177, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7757, kappa: 0.2024, kb_relative_information_score: 753.5375, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7916, predictive_accuracy: 0.82, prior_entropy: 0.7088, recall: 0.82, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7765, kappa: 0.2059, kb_relative_information_score: 776.2189, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7908, predictive_accuracy: 0.8198, prior_entropy: 0.7088, recall: 0.8198, relative_absolute_error: 0.8455, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.7695, kappa: 0.2247, kb_relative_information_score: 390.6023, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7607, predictive_accuracy: 0.7834, prior_entropy: 0.7088, recall: 0.7834, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3992, root_relative_squared_error: 1.0106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.7839, kappa: 0.2366, kb_relative_information_score: 865.1734, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7912, predictive_accuracy: 0.8205, prior_entropy: 0.7088, recall: 0.8205, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.7803, kappa: 0.2227, kb_relative_information_score: 653.5273, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7882, predictive_accuracy: 0.8189, prior_entropy: 0.7088, recall: 0.8189, relative_absolute_error: 0.8435, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7715, kappa: 0.2374, kb_relative_information_score: 544.102, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7638, predictive_accuracy: 0.7825, prior_entropy: 0.7088, recall: 0.7825, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4043, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.7676, kappa: 0.1713, kb_relative_information_score: 662.8607, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.787, predictive_accuracy: 0.8174, prior_entropy: 0.7088, recall: 0.8174, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7701, kappa: 0.1824, kb_relative_information_score: 635.3766, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7824, predictive_accuracy: 0.816, prior_entropy: 0.7088, recall: 0.816, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.7772, kappa: 0.217, kb_relative_information_score: 588.7104, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7756, predictive_accuracy: 0.8109, prior_entropy: 0.7088, recall: 0.8109, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7803, kappa: 0.2223, kb_relative_information_score: 650.1845, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7895, predictive_accuracy: 0.8196, prior_entropy: 0.7088, recall: 0.8196, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.78, kappa: 0.2195, kb_relative_information_score: 728.0603, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7928, predictive_accuracy: 0.821, prior_entropy: 0.7088, recall: 0.821, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.7528, kappa: 0.1159, kb_relative_information_score: 416.1514, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7811, predictive_accuracy: 0.8135, prior_entropy: 0.7088, recall: 0.8135, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.7559, kappa: 0.1273, kb_relative_information_score: 472.585, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7821, predictive_accuracy: 0.8142, prior_entropy: 0.7088, recall: 0.8142, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.7652, kappa: 0.2298, kb_relative_information_score: 403.4399, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7601, predictive_accuracy: 0.7712, prior_entropy: 0.7088, recall: 0.7712, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.0612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.7828, kappa: 0.2322, kb_relative_information_score: 745.2154, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7908, predictive_accuracy: 0.8203, prior_entropy: 0.7088, recall: 0.8203, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.7816, kappa: 0.2354, kb_relative_information_score: 745.4528, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7793, predictive_accuracy: 0.8123, prior_entropy: 0.7088, recall: 0.8123, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.7869, kappa: 0.2495, kb_relative_information_score: 910.6706, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7918, predictive_accuracy: 0.8208, prior_entropy: 0.7088, recall: 0.8208, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7787, kappa: 0.2153, kb_relative_information_score: 808.7879, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7903, predictive_accuracy: 0.8198, prior_entropy: 0.7088, recall: 0.8198, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7698, kappa: 0.181, kb_relative_information_score: 617.6263, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7823, predictive_accuracy: 0.8159, prior_entropy: 0.7088, recall: 0.8159, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7759, kappa: 0.2054, kb_relative_information_score: 666.4799, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7848, predictive_accuracy: 0.8172, prior_entropy: 0.7088, recall: 0.8172, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.7825, kappa: 0.232, kb_relative_information_score: 728.5782, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7886, predictive_accuracy: 0.8191, prior_entropy: 0.7088, recall: 0.8191, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.7629, kappa: 0.154, kb_relative_information_score: 551.3435, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7807, predictive_accuracy: 0.8148, prior_entropy: 0.7088, recall: 0.8148, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.7678, kappa: 0.1736, kb_relative_information_score: 595.965, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7797, predictive_accuracy: 0.8148, prior_entropy: 0.7088, recall: 0.8148, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.9269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7661, kappa: 0.1667, kb_relative_information_score: 617.6717, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7807, predictive_accuracy: 0.8151, prior_entropy: 0.7088, recall: 0.8151, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.7863, kappa: 0.2484, kb_relative_information_score: 501.7043, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7893, predictive_accuracy: 0.8192, prior_entropy: 0.7088, recall: 0.8192, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.7716, kappa: 0.1887, kb_relative_information_score: 669.7958, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7821, predictive_accuracy: 0.8159, prior_entropy: 0.7088, recall: 0.8159, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.772, kappa: 0.1905, kb_relative_information_score: 668.8602, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7807, predictive_accuracy: 0.8153, prior_entropy: 0.7088, recall: 0.8153, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.9276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.7852, kappa: 0.2468, kb_relative_information_score: 786.7679, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7851, predictive_accuracy: 0.8163, prior_entropy: 0.7088, recall: 0.8163, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.7758, kappa: 0.2139, kb_relative_information_score: 544.0495, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7724, predictive_accuracy: 0.8085, prior_entropy: 0.7088, recall: 0.8085, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7764, kappa: 0.2045, kb_relative_information_score: 839.8844, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7949, predictive_accuracy: 0.8213, prior_entropy: 0.7088, recall: 0.8213, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.7622, kappa: 0.1512, kb_relative_information_score: 583.6176, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7806, predictive_accuracy: 0.8147, prior_entropy: 0.7088, recall: 0.8147, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7715, kappa: 0.1889, kb_relative_information_score: 681.0905, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7803, predictive_accuracy: 0.8151, prior_entropy: 0.7088, recall: 0.8151, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.7718, kappa: 0.1887, kb_relative_information_score: 640.2697, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7838, predictive_accuracy: 0.8166, prior_entropy: 0.7088, recall: 0.8166, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7562, kappa: 0.1284, kb_relative_information_score: 518.0585, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7796, predictive_accuracy: 0.8137, prior_entropy: 0.7088, recall: 0.8137, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7828, kappa: 0.232, kb_relative_information_score: 725.4132, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7914, predictive_accuracy: 0.8206, prior_entropy: 0.7088, recall: 0.8206, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7673, kappa: 0.171, kb_relative_information_score: 593.6265, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7827, predictive_accuracy: 0.8159, prior_entropy: 0.7088, recall: 0.8159, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.782, kappa: 0.2286, kb_relative_information_score: 687.8095, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7907, predictive_accuracy: 0.8202, prior_entropy: 0.7088, recall: 0.8202, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.7813, kappa: 0.2273, kb_relative_information_score: 686.0618, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7877, predictive_accuracy: 0.8186, prior_entropy: 0.7088, recall: 0.8186, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.7774, kappa: 0.2108, kb_relative_information_score: 691.3139, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7872, predictive_accuracy: 0.8184, prior_entropy: 0.7088, recall: 0.8184, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.7907, kappa: 0.2654, kb_relative_information_score: 782.9124, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7937, predictive_accuracy: 0.8217, prior_entropy: 0.7088, recall: 0.8217, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.7817, kappa: 0.2281, kb_relative_information_score: 702.8575, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7896, predictive_accuracy: 0.8197, prior_entropy: 0.7088, recall: 0.8197, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7704, kappa: 0.1832, kb_relative_information_score: 662.6344, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7838, predictive_accuracy: 0.8165, prior_entropy: 0.7088, recall: 0.8165, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.7871, kappa: 0.2611, kb_relative_information_score: 739.6647, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7826, predictive_accuracy: 0.8123, prior_entropy: 0.7088, recall: 0.8123, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7736, kappa: 0.196, kb_relative_information_score: 712.1357, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7845, predictive_accuracy: 0.817, prior_entropy: 0.7088, recall: 0.817, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7724, kappa: 0.1908, kb_relative_information_score: 613.0739, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7855, predictive_accuracy: 0.8174, prior_entropy: 0.7088, recall: 0.8174, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.7693, kappa: 0.1789, kb_relative_information_score: 616.5647, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7837, predictive_accuracy: 0.8164, prior_entropy: 0.7088, recall: 0.8164, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.7738, kappa: 0.1964, kb_relative_information_score: 767.831, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7857, predictive_accuracy: 0.8175, prior_entropy: 0.7088, recall: 0.8175, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.7777, kappa: 0.2128, kb_relative_information_score: 792.2822, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7851, predictive_accuracy: 0.8174, prior_entropy: 0.7088, recall: 0.8174, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7721, kappa: 0.1896, kb_relative_information_score: 688.2248, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.786, predictive_accuracy: 0.8175, prior_entropy: 0.7088, recall: 0.8175, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.7856, kappa: 0.2496, kb_relative_information_score: 817.2, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7848, predictive_accuracy: 0.8158, prior_entropy: 0.7088, recall: 0.8158, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.7748, kappa: 0.2007, kb_relative_information_score: 737.1131, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7852, predictive_accuracy: 0.8174, prior_entropy: 0.7088, recall: 0.8174, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7791, kappa: 0.2183, kb_relative_information_score: 651.8458, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.787, predictive_accuracy: 0.8183, prior_entropy: 0.7088, recall: 0.8183, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.7575, kappa: 0.1334, kb_relative_information_score: 563.5798, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7814, predictive_accuracy: 0.8143, prior_entropy: 0.7088, recall: 0.8143, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.7847, kappa: 0.2391, kb_relative_information_score: 766.3433, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7929, predictive_accuracy: 0.8214, prior_entropy: 0.7088, recall: 0.8214, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7739, kappa: 0.2413, kb_relative_information_score: 406.8886, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7657, predictive_accuracy: 0.7866, prior_entropy: 0.7088, recall: 0.7866, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7747, kappa: 0.203, kb_relative_information_score: 667.3252, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.779, predictive_accuracy: 0.8141, prior_entropy: 0.7088, recall: 0.8141, relative_absolute_error: 0.8414, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.7807, kappa: 0.2249, kb_relative_information_score: 810.4474, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7875, predictive_accuracy: 0.8186, prior_entropy: 0.7088, recall: 0.8186, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.7814, kappa: 0.2256, kb_relative_information_score: 738.0552, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7921, predictive_accuracy: 0.8209, prior_entropy: 0.7088, recall: 0.8209, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.7814, kappa: 0.2339, kb_relative_information_score: 702.7637, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7799, predictive_accuracy: 0.813, prior_entropy: 0.7088, recall: 0.813, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.7681, kappa: 0.1735, kb_relative_information_score: 620.9341, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7862, predictive_accuracy: 0.8172, prior_entropy: 0.7088, recall: 0.8172, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.7721, kappa: 0.1884, kb_relative_information_score: 673.3416, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7907, predictive_accuracy: 0.8192, prior_entropy: 0.7088, recall: 0.8192, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7748, kappa: 0.2004, kb_relative_information_score: 666.7236, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7864, predictive_accuracy: 0.8179, prior_entropy: 0.7088, recall: 0.8179, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.7794, kappa: 0.2182, kb_relative_information_score: 819.6693, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7904, predictive_accuracy: 0.8199, prior_entropy: 0.7088, recall: 0.8199, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.7879, kappa: 0.2554, kb_relative_information_score: 910.8921, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7903, predictive_accuracy: 0.8197, prior_entropy: 0.7088, recall: 0.8197, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.768, kappa: 0.1744, kb_relative_information_score: 611.4834, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7797, predictive_accuracy: 0.8148, prior_entropy: 0.7088, recall: 0.8148, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.7794, kappa: 0.2201, kb_relative_information_score: 620.9839, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7851, predictive_accuracy: 0.8173, prior_entropy: 0.7088, recall: 0.8173, relative_absolute_error: 0.8455, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7669, kappa: 0.1691, kb_relative_information_score: 599.8281, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7847, predictive_accuracy: 0.8165, prior_entropy: 0.7088, recall: 0.8165, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7868, kappa: 0.2492, kb_relative_information_score: 806.2807, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7913, predictive_accuracy: 0.8205, prior_entropy: 0.7088, recall: 0.8205, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.7656, kappa: 0.1648, kb_relative_information_score: 607.2523, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7795, predictive_accuracy: 0.8146, prior_entropy: 0.7088, recall: 0.8146, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.7793, kappa: 0.2184, kb_relative_information_score: 681.8392, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.788, predictive_accuracy: 0.8188, prior_entropy: 0.7088, recall: 0.8188, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7625, kappa: 0.1521, kb_relative_information_score: 643.8026, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7852, predictive_accuracy: 0.8161, prior_entropy: 0.7088, recall: 0.8161, relative_absolute_error: 0.8682, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7666, kappa: 0.1685, kb_relative_information_score: 623.5149, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7813, predictive_accuracy: 0.8153, prior_entropy: 0.7088, recall: 0.8153, relative_absolute_error: 0.8589, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.7822, kappa: 0.2432, kb_relative_information_score: 652.5271, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7769, predictive_accuracy: 0.8087, prior_entropy: 0.7088, recall: 0.8087, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7841, kappa: 0.2353, kb_relative_information_score: 743.2945, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7963, predictive_accuracy: 0.823, prior_entropy: 0.7088, recall: 0.823, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.7545, kappa: 0.122, kb_relative_information_score: 468.5925, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7799, predictive_accuracy: 0.8135, prior_entropy: 0.7088, recall: 0.8135, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.7763, kappa: 0.2063, kb_relative_information_score: 750.8322, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7871, predictive_accuracy: 0.8183, prior_entropy: 0.7088, recall: 0.8183, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.7645, kappa: 0.1597, kb_relative_information_score: 662.963, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7851, predictive_accuracy: 0.8164, prior_entropy: 0.7088, recall: 0.8164, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7605, kappa: 0.1446, kb_relative_information_score: 580.1496, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.782, predictive_accuracy: 0.8149, prior_entropy: 0.7088, recall: 0.8149, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9273,

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