Task
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3493 Supervised Classification monks-problems-2 129575 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7083, kappa: 0.3417, kb_relative_information_score: 159.1016, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7063, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7073, kappa: 0.3403, kb_relative_information_score: 167.8202, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7051, predictive_accuracy: 0.7138, prior_entropy: 0.9279, recall: 0.7138, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8034, kappa: 0.5632, kb_relative_information_score: 305.8757, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8032, predictive_accuracy: 0.8037, prior_entropy: 0.9279, recall: 0.8037, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.7215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9372, kappa: 0.8616, kb_relative_information_score: 507.3385, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9384, predictive_accuracy: 0.9368, prior_entropy: 0.9279, recall: 0.9368, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.7814, kappa: 0.5134, kb_relative_information_score: 274.9921, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7808, predictive_accuracy: 0.782, prior_entropy: 0.9279, recall: 0.782, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7706, kappa: 0.4915, kb_relative_information_score: 273.587, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7709, predictive_accuracy: 0.7704, prior_entropy: 0.9279, recall: 0.7704, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7557, kappa: 0.4524, kb_relative_information_score: 239.269, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7543, predictive_accuracy: 0.7587, prior_entropy: 0.9279, recall: 0.7587, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.7335, kappa: 0.4, kb_relative_information_score: 228.2917, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7319, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.8034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8954, kappa: 0.7681, kb_relative_information_score: 450.1944, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8956, predictive_accuracy: 0.8952, prior_entropy: 0.9279, recall: 0.8952, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.5147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8235, kappa: 0.6125, kb_relative_information_score: 343.3313, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8265, predictive_accuracy: 0.822, prior_entropy: 0.9279, recall: 0.822, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7189, kappa: 0.3679, kb_relative_information_score: 188.855, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7168, predictive_accuracy: 0.7238, prior_entropy: 0.9279, recall: 0.7238, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8218, kappa: 0.6084, kb_relative_information_score: 338.4039, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8245, predictive_accuracy: 0.8203, prior_entropy: 0.9279, recall: 0.8203, relative_absolute_error: 0.4236, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7103, kappa: 0.3464, kb_relative_information_score: 171.4674, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7082, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9124, kappa: 0.8072, kb_relative_information_score: 479.4477, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9139, predictive_accuracy: 0.9118, prior_entropy: 0.9279, recall: 0.9118, relative_absolute_error: 0.1929, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8425, kappa: 0.652, kb_relative_information_score: 374.3657, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8434, predictive_accuracy: 0.8419, prior_entropy: 0.9279, recall: 0.8419, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7103, kappa: 0.3464, kb_relative_information_score: 170.5153, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7082, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.6865, kappa: 0.2899, kb_relative_information_score: 119.0784, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6844, predictive_accuracy: 0.6972, prior_entropy: 0.9279, recall: 0.6972, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8514, kappa: 0.6729, kb_relative_information_score: 385.1943, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8534, predictive_accuracy: 0.8502, prior_entropy: 0.9279, recall: 0.8502, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.6188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.8691, kappa: 0.7106, kb_relative_information_score: 413.9417, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8698, predictive_accuracy: 0.8686, prior_entropy: 0.9279, recall: 0.8686, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9336, kappa: 0.853, kb_relative_information_score: 505.0944, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9338, predictive_accuracy: 0.9334, prior_entropy: 0.9279, recall: 0.9334, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.7895, kappa: 0.5348, kb_relative_information_score: 290.5686, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7905, predictive_accuracy: 0.7887, prior_entropy: 0.9279, recall: 0.7887, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9522, kappa: 0.8952, kb_relative_information_score: 528.3909, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9547, predictive_accuracy: 0.9517, prior_entropy: 0.9279, recall: 0.9517, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7475, kappa: 0.4342, kb_relative_information_score: 239.5662, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.746, predictive_accuracy: 0.7504, prior_entropy: 0.9279, recall: 0.7504, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8047, kappa: 0.5654, kb_relative_information_score: 308.3392, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8043, predictive_accuracy: 0.8053, prior_entropy: 0.9279, recall: 0.8053, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.7179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9834, kappa: 0.9632, kb_relative_information_score: 579.8551, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9835, predictive_accuracy: 0.9834, prior_entropy: 0.9279, recall: 0.9834, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.2008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7347, kappa: 0.4043, kb_relative_information_score: 228.0149, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.733, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9109, kappa: 0.8042, kb_relative_information_score: 472.4676, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.913, predictive_accuracy: 0.9101, prior_entropy: 0.9279, recall: 0.9101, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.4891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7346, kappa: 0.4017, kb_relative_information_score: 212.2313, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7332, predictive_accuracy: 0.7404, prior_entropy: 0.9279, recall: 0.7404, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8466, kappa: 0.6632, kb_relative_information_score: 378.246, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8494, predictive_accuracy: 0.8453, prior_entropy: 0.9279, recall: 0.8453, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.6288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8003, kappa: 0.5568, kb_relative_information_score: 303.497, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8003, predictive_accuracy: 0.8003, prior_entropy: 0.9279, recall: 0.8003, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.7576, kappa: 0.4569, kb_relative_information_score: 255.1999, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7562, predictive_accuracy: 0.7604, prior_entropy: 0.9279, recall: 0.7604, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.7505, kappa: 0.4404, kb_relative_information_score: 240.5318, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.749, predictive_accuracy: 0.7537, prior_entropy: 0.9279, recall: 0.7537, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8501, kappa: 0.6669, kb_relative_information_score: 391.7789, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8499, predictive_accuracy: 0.8502, prior_entropy: 0.9279, recall: 0.8502, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.6197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9115, kappa: 0.8031, kb_relative_information_score: 474.1442, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9114, predictive_accuracy: 0.9118, prior_entropy: 0.9279, recall: 0.9118, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.6741, kappa: 0.2617, kb_relative_information_score: 107.5584, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6715, predictive_accuracy: 0.6855, prior_entropy: 0.9279, recall: 0.6855, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9571, kappa: 0.9059, kb_relative_information_score: 535.1189, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9594, predictive_accuracy: 0.9567, prior_entropy: 0.9279, recall: 0.9567, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.7957, kappa: 0.5473, kb_relative_information_score: 294.7117, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7961, predictive_accuracy: 0.7953, prior_entropy: 0.9279, recall: 0.7953, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7189, kappa: 0.3679, kb_relative_information_score: 191.3851, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7168, predictive_accuracy: 0.7238, prior_entropy: 0.9279, recall: 0.7238, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.7189, kappa: 0.3679, kb_relative_information_score: 192.2105, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7168, predictive_accuracy: 0.7238, prior_entropy: 0.9279, recall: 0.7238, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7282, kappa: 0.3878, kb_relative_information_score: 208.8614, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7265, predictive_accuracy: 0.7338, prior_entropy: 0.9279, recall: 0.7338, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.8245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.932, kappa: 0.8495, kb_relative_information_score: 502.985, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9323, predictive_accuracy: 0.9318, prior_entropy: 0.9279, recall: 0.9318, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.7737, kappa: 0.4978, kb_relative_information_score: 277.8861, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7737, predictive_accuracy: 0.7737, prior_entropy: 0.9279, recall: 0.7737, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9472, kappa: 0.8842, kb_relative_information_score: 521.3002, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9495, predictive_accuracy: 0.9468, prior_entropy: 0.9279, recall: 0.9468, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.7968, kappa: 0.5484, kb_relative_information_score: 301.5579, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7965, predictive_accuracy: 0.797, prior_entropy: 0.9279, recall: 0.797, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.7908, kappa: 0.5368, kb_relative_information_score: 291.5351, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7914, predictive_accuracy: 0.7903, prior_entropy: 0.9279, recall: 0.7903, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.7189, kappa: 0.3679, kb_relative_information_score: 192.8333, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7168, predictive_accuracy: 0.7238, prior_entropy: 0.9279, recall: 0.7238, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.6741, kappa: 0.2617, kb_relative_information_score: 107.4797, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6715, predictive_accuracy: 0.6855, prior_entropy: 0.9279, recall: 0.6855, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8903, kappa: 0.7568, kb_relative_information_score: 444.4318, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8905, predictive_accuracy: 0.8902, prior_entropy: 0.9279, recall: 0.8902, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7054, kappa: 0.3356, kb_relative_information_score: 157.976, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7031, predictive_accuracy: 0.7121, prior_entropy: 0.9279, recall: 0.7121, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.6865, kappa: 0.2899, kb_relative_information_score: 118.9996, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6844, predictive_accuracy: 0.6972, prior_entropy: 0.9279, recall: 0.6972, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.717, kappa: 0.3633, kb_relative_information_score: 195.0684, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7149, predictive_accuracy: 0.7221, prior_entropy: 0.9279, recall: 0.7221, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.6845, kappa: 0.2852, kb_relative_information_score: 118.9842, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6824, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7527, kappa: 0.4462, kb_relative_information_score: 238.3034, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7513, predictive_accuracy: 0.7554, prior_entropy: 0.9279, recall: 0.7554, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.7576, kappa: 0.4569, kb_relative_information_score: 255.1999, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7562, predictive_accuracy: 0.7604, prior_entropy: 0.9279, recall: 0.7604, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8952, kappa: 0.7676, kb_relative_information_score: 455.2298, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8953, predictive_accuracy: 0.8952, prior_entropy: 0.9279, recall: 0.8952, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.5064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9109, kappa: 0.8042, kb_relative_information_score: 473.4256, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.913, predictive_accuracy: 0.9101, prior_entropy: 0.9279, recall: 0.9101, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.4873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7112, kappa: 0.3495, kb_relative_information_score: 171.6705, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.709, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.7531, kappa: 0.4475, kb_relative_information_score: 250.6555, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7517, predictive_accuracy: 0.7554, prior_entropy: 0.9279, recall: 0.7554, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.714, kappa: 0.3572, kb_relative_information_score: 188.7467, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7119, predictive_accuracy: 0.7188, prior_entropy: 0.9279, recall: 0.7188, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8416, kappa: 0.6479, kb_relative_information_score: 386.042, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8414, predictive_accuracy: 0.8419, prior_entropy: 0.9279, recall: 0.8419, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7316, kappa: 0.3954, kb_relative_information_score: 210.4656, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.73, predictive_accuracy: 0.7371, prior_entropy: 0.9279, recall: 0.7371, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.7972, kappa: 0.5505, kb_relative_information_score: 295.2815, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7975, predictive_accuracy: 0.797, prior_entropy: 0.9279, recall: 0.797, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.7309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7233, kappa: 0.3771, kb_relative_information_score: 203.9599, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7214, predictive_accuracy: 0.7288, prior_entropy: 0.9279, recall: 0.7288, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.717, kappa: 0.3633, kb_relative_information_score: 192.7253, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7149, predictive_accuracy: 0.7221, prior_entropy: 0.9279, recall: 0.7221, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.7928, kappa: 0.5421, kb_relative_information_score: 291.7961, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7939, predictive_accuracy: 0.792, prior_entropy: 0.9279, recall: 0.792, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7648, kappa: 0.4713, kb_relative_information_score: 252.6121, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7637, predictive_accuracy: 0.7687, prior_entropy: 0.9279, recall: 0.7687, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.685, kappa: 0.2869, kb_relative_information_score: 121.6197, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6828, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7475, kappa: 0.4342, kb_relative_information_score: 239.5662, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.746, predictive_accuracy: 0.7504, prior_entropy: 0.9279, recall: 0.7504, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8469, kappa: 0.6602, kb_relative_information_score: 384.9551, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8469, predictive_accuracy: 0.8469, prior_entropy: 0.9279, recall: 0.8469, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7475, kappa: 0.4342, kb_relative_information_score: 239.9473, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.746, predictive_accuracy: 0.7504, prior_entropy: 0.9279, recall: 0.7504, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7282, kappa: 0.3878, kb_relative_information_score: 209.2425, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7265, predictive_accuracy: 0.7338, prior_entropy: 0.9279, recall: 0.7338, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.8243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.7752, kappa: 0.5009, kb_relative_information_score: 278.9726, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7751, predictive_accuracy: 0.7754, prior_entropy: 0.9279, recall: 0.7754, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8547, kappa: 0.6802, kb_relative_information_score: 388.5958, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8567, predictive_accuracy: 0.8536, prior_entropy: 0.9279, recall: 0.8536, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.6133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9537, kappa: 0.898, kb_relative_information_score: 538.7538, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9548, predictive_accuracy: 0.9534, prior_entropy: 0.9279, recall: 0.9534, relative_absolute_error: 0.0988, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7316, kappa: 0.3954, kb_relative_information_score: 210.5191, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.73, predictive_accuracy: 0.7371, prior_entropy: 0.9279, recall: 0.7371, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.7347, kappa: 0.4043, kb_relative_information_score: 229.5966, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.733, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8057, kappa: 0.5694, kb_relative_information_score: 306.8592, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.806, predictive_accuracy: 0.8053, prior_entropy: 0.9279, recall: 0.8053, relative_absolute_error: 0.4712, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.7179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9554, kappa: 0.9018, kb_relative_information_score: 540.4395, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9567, predictive_accuracy: 0.9551, prior_entropy: 0.9279, recall: 0.9551, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9109, kappa: 0.8042, kb_relative_information_score: 473.8605, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.913, predictive_accuracy: 0.9101, prior_entropy: 0.9279, recall: 0.9101, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7252, kappa: 0.3816, kb_relative_information_score: 207.9687, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7234, predictive_accuracy: 0.7304, prior_entropy: 0.9279, recall: 0.7304, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.8265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.7941, kappa: 0.5442, kb_relative_information_score: 294.2868, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7947, predictive_accuracy: 0.7937, prior_entropy: 0.9279, recall: 0.7937, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7218, kappa: 0.374, kb_relative_information_score: 194.3669, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7199, predictive_accuracy: 0.7271, prior_entropy: 0.9279, recall: 0.7271, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7073, kappa: 0.3403, kb_relative_information_score: 169.2322, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7051, predictive_accuracy: 0.7138, prior_entropy: 0.9279, recall: 0.7138, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.695, kappa: 0.3106, kb_relative_information_score: 146.694, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6928, predictive_accuracy: 0.7038, prior_entropy: 0.9279, recall: 0.7038, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9603, kappa: 0.9126, kb_relative_information_score: 537.8823, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9614, predictive_accuracy: 0.9601, prior_entropy: 0.9279, recall: 0.9601, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.714, kappa: 0.3572, kb_relative_information_score: 191.2768, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7119, predictive_accuracy: 0.7188, prior_entropy: 0.9279, recall: 0.7188, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9303, kappa: 0.8456, kb_relative_information_score: 500.2129, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9305, predictive_accuracy: 0.9301, prior_entropy: 0.9279, recall: 0.9301, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9185, kappa: 0.8193, kb_relative_information_score: 476.5944, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9186, predictive_accuracy: 0.9185, prior_entropy: 0.9279, recall: 0.9185, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.6727, kappa: 0.2587, kb_relative_information_score: 104.9652, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6699, predictive_accuracy: 0.6839, prior_entropy: 0.9279, recall: 0.6839, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.7908, kappa: 0.5368, kb_relative_information_score: 291.4931, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7914, predictive_accuracy: 0.7903, prior_entropy: 0.9279, recall: 0.7903, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.7921, kappa: 0.5389, kb_relative_information_score: 291.2256, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7923, predictive_accuracy: 0.792, prior_entropy: 0.9279, recall: 0.792, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.7752, kappa: 0.5009, kb_relative_information_score: 279.603, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7751, predictive_accuracy: 0.7754, prior_entropy: 0.9279, recall: 0.7754, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.685, kappa: 0.2869, kb_relative_information_score: 122.8639, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6828, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7557, kappa: 0.4524, kb_relative_information_score: 240.4599, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7543, predictive_accuracy: 0.7587, prior_entropy: 0.9279, recall: 0.7587, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7189, kappa: 0.3679, kb_relative_information_score: 191.7662, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7168, predictive_accuracy: 0.7238, prior_entropy: 0.9279, recall: 0.7238, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7648, kappa: 0.4713, kb_relative_information_score: 253.1796, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7637, predictive_accuracy: 0.7687, prior_entropy: 0.9279, recall: 0.7687, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.7475, kappa: 0.4342, kb_relative_information_score: 238.3753, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.746, predictive_accuracy: 0.7504, prior_entropy: 0.9279, recall: 0.7504, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.685, kappa: 0.2869, kb_relative_information_score: 122.8107, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6828, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.6845, kappa: 0.2852, kb_relative_information_score: 118.9842, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6824, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8019, kappa: 0.56, kb_relative_information_score: 306.0607, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8018, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7218,

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

OpenML APIs