Task
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 53 Supervised Classification vehicle 25333 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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25333 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8489, kappa: 0.7982, kb_relative_information_score: 0.8179, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8491, predictive_accuracy: 0.8487, prior_entropy: 1.9991, recall: 0.8487, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.275, root_relative_squared_error: 0.6353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8562, kappa: 0.8076, kb_relative_information_score: 0.8263, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8568, predictive_accuracy: 0.8558, prior_entropy: 1.9991, recall: 0.8558, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.6203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8386, kappa: 0.7856, kb_relative_information_score: 0.8067, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8381, predictive_accuracy: 0.8392, prior_entropy: 1.9991, recall: 0.8392, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.6549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.5738, kappa: 0.394, kb_relative_information_score: 0.4523, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.696, predictive_accuracy: 0.5473, prior_entropy: 1.9991, recall: 0.5473, relative_absolute_error: 0.6039, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.7886, kappa: 0.7177, kb_relative_information_score: 0.7453, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7888, predictive_accuracy: 0.7884, prior_entropy: 1.9991, recall: 0.7884, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.7513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.835, kappa: 0.7809, kb_relative_information_score: 0.8024, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8348, predictive_accuracy: 0.8357, prior_entropy: 1.9991, recall: 0.8357, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.6621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8669, kappa: 0.8218, kb_relative_information_score: 0.8392, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8682, predictive_accuracy: 0.8664, prior_entropy: 1.9991, recall: 0.8664, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8554, kappa: 0.8061, kb_relative_information_score: 0.8249, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8568, predictive_accuracy: 0.8546, prior_entropy: 1.9991, recall: 0.8546, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8346, kappa: 0.7793, kb_relative_information_score: 0.801, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8348, predictive_accuracy: 0.8345, prior_entropy: 1.9991, recall: 0.8345, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.6644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8358, kappa: 0.7809, kb_relative_information_score: 0.8024, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.836, predictive_accuracy: 0.8357, prior_entropy: 1.9991, recall: 0.8357, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.6621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5184, kappa: 0.037, kb_relative_information_score: 0.1324, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.3748, number_of_instances: 846, predictive_accuracy: 0.2849, prior_entropy: 1.9991, recall: 0.2849, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.598, root_relative_squared_error: 1.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7884, kappa: 0.7225, kb_relative_information_score: 0.7498, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7859, predictive_accuracy: 0.792, prior_entropy: 1.9991, recall: 0.792, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.8003, kappa: 0.7367, kb_relative_information_score: 0.7627, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7984, predictive_accuracy: 0.8026, prior_entropy: 1.9991, recall: 0.8026, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.82, kappa: 0.762, kb_relative_information_score: 0.7854, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8188, predictive_accuracy: 0.8215, prior_entropy: 1.9991, recall: 0.8215, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7328, kappa: 0.6658, kb_relative_information_score: 0.6985, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7381, predictive_accuracy: 0.7494, prior_entropy: 1.9991, recall: 0.7494, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.354, root_relative_squared_error: 0.8176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.4235, kappa: 0.3298, kb_relative_information_score: 0.3935, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4359, predictive_accuracy: 0.4953, prior_entropy: 1.9991, recall: 0.4953, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.1604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.5669, kappa: 0.5012, kb_relative_information_score: 0.5491, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.604, predictive_accuracy: 0.6253, prior_entropy: 1.9991, recall: 0.6253, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7132, kappa: 0.6408, kb_relative_information_score: 0.6757, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7201, predictive_accuracy: 0.7305, prior_entropy: 1.9991, recall: 0.7305, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.7577, kappa: 0.6879, kb_relative_information_score: 0.7185, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7582, predictive_accuracy: 0.766, prior_entropy: 1.9991, recall: 0.766, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8138, kappa: 0.7541, kb_relative_information_score: 0.7783, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8125, predictive_accuracy: 0.8156, prior_entropy: 1.9991, recall: 0.8156, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.2212, kappa: -0.0111, kb_relative_information_score: 0.0855, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.3048, predictive_accuracy: 0.2423, prior_entropy: 1.9991, recall: 0.2423, relative_absolute_error: 1.0107, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6155, root_relative_squared_error: 1.4217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8598, kappa: 0.8124, kb_relative_information_score: 0.8306, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8607, predictive_accuracy: 0.8593, prior_entropy: 1.9991, recall: 0.8593, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.6126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8548, kappa: 0.8061, kb_relative_information_score: 0.8251, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8551, predictive_accuracy: 0.8546, prior_entropy: 1.9991, recall: 0.8546, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8591, kappa: 0.8108, kb_relative_information_score: 0.8291, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8606, predictive_accuracy: 0.8582, prior_entropy: 1.9991, recall: 0.8582, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.6152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7448, kappa: 0.6563, kb_relative_information_score: 0.6897, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7476, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.7693, kappa: 0.7005, kb_relative_information_score: 0.7301, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7654, predictive_accuracy: 0.7754, prior_entropy: 1.9991, recall: 0.7754, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.8057, kappa: 0.7447, kb_relative_information_score: 0.7699, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8037, predictive_accuracy: 0.8085, prior_entropy: 1.9991, recall: 0.8085, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.7147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7974, kappa: 0.7336, kb_relative_information_score: 0.7598, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7954, predictive_accuracy: 0.8002, prior_entropy: 1.9991, recall: 0.8002, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.316, root_relative_squared_error: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8038, kappa: 0.7399, kb_relative_information_score: 0.7655, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8031, predictive_accuracy: 0.805, prior_entropy: 1.9991, recall: 0.805, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.6309, kappa: 0.4758, kb_relative_information_score: 0.5264, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6838, predictive_accuracy: 0.6076, prior_entropy: 1.9991, recall: 0.6076, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.443, root_relative_squared_error: 1.0232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.6498, kappa: 0.5626, kb_relative_information_score: 0.605, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6599, predictive_accuracy: 0.6714, prior_entropy: 1.9991, recall: 0.6714, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8267, kappa: 0.7699, kb_relative_information_score: 0.7925, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8266, predictive_accuracy: 0.8274, prior_entropy: 1.9991, recall: 0.8274, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.6785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.7569, kappa: 0.6881, kb_relative_information_score: 0.7187, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7548, predictive_accuracy: 0.766, prior_entropy: 1.9991, recall: 0.766, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8312, kappa: 0.7746, kb_relative_information_score: 0.7967, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8317, predictive_accuracy: 0.831, prior_entropy: 1.9991, recall: 0.831, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.6715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8016, kappa: 0.7383, kb_relative_information_score: 0.7641, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8001, predictive_accuracy: 0.8038, prior_entropy: 1.9991, recall: 0.8038, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7891, kappa: 0.7241, kb_relative_information_score: 0.7513, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7864, predictive_accuracy: 0.7931, prior_entropy: 1.9991, recall: 0.7931, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.7429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.6347, kappa: 0.5546, kb_relative_information_score: 0.5973, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6606, predictive_accuracy: 0.6655, prior_entropy: 1.9991, recall: 0.6655, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.409, root_relative_squared_error: 0.9447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7987, kappa: 0.7352, kb_relative_information_score: 0.7613, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7967, predictive_accuracy: 0.8014, prior_entropy: 1.9991, recall: 0.8014, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.462, kappa: 0.3762, kb_relative_information_score: 0.4357, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4335, predictive_accuracy: 0.5307, prior_entropy: 1.9991, recall: 0.5307, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4844, root_relative_squared_error: 1.1189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.4603, kappa: 0.3733, kb_relative_information_score: 0.433, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.447, predictive_accuracy: 0.5284, prior_entropy: 1.9991, recall: 0.5284, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.1217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.6858, kappa: 0.6063, kb_relative_information_score: 0.6445, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6913, predictive_accuracy: 0.7045, prior_entropy: 1.9991, recall: 0.7045, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.8879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.6735, kappa: 0.5956, kb_relative_information_score: 0.6348, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.688, predictive_accuracy: 0.6962, prior_entropy: 1.9991, recall: 0.6962, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.6963, kappa: 0.6269, kb_relative_information_score: 0.663, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7103, predictive_accuracy: 0.7199, prior_entropy: 1.9991, recall: 0.7199, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.8645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.6792, kappa: 0.5985, kb_relative_information_score: 0.6374, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6838, predictive_accuracy: 0.6986, prior_entropy: 1.9991, recall: 0.6986, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.8071, kappa: 0.7446, kb_relative_information_score: 0.7698, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8061, predictive_accuracy: 0.8085, prior_entropy: 1.9991, recall: 0.8085, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.7147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8061, kappa: 0.7398, kb_relative_information_score: 0.7652, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8075, predictive_accuracy: 0.805, prior_entropy: 1.9991, recall: 0.805, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8118, kappa: 0.7493, kb_relative_information_score: 0.7738, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8117, predictive_accuracy: 0.8121, prior_entropy: 1.9991, recall: 0.8121, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.7081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.7603, kappa: 0.6895, kb_relative_information_score: 0.72, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.759, predictive_accuracy: 0.7671, prior_entropy: 1.9991, recall: 0.7671, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.7882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.784, kappa: 0.7195, kb_relative_information_score: 0.7471, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7808, predictive_accuracy: 0.7896, prior_entropy: 1.9991, recall: 0.7896, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.7492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kappa: -0.0029, kb_relative_information_score: 0.0969, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.3748, number_of_instances: 846, predictive_accuracy: 0.2553, prior_entropy: 1.9991, recall: 0.2553, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6102, root_relative_squared_error: 1.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7974, kappa: 0.7288, kb_relative_information_score: 0.7553, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7983, predictive_accuracy: 0.7967, prior_entropy: 1.9991, recall: 0.7967, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.7365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8648, kappa: 0.8187, kb_relative_information_score: 0.8362, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8663, predictive_accuracy: 0.8641, prior_entropy: 1.9991, recall: 0.8641, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.6022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7783, kappa: 0.702, kb_relative_information_score: 0.731, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7803, predictive_accuracy: 0.7766, prior_entropy: 1.9991, recall: 0.7766, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7683, kappa: 0.6909, kb_relative_information_score: 0.721, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7686, predictive_accuracy: 0.7683, prior_entropy: 1.9991, recall: 0.7683, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7985, kappa: 0.7352, kb_relative_information_score: 0.7613, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7964, predictive_accuracy: 0.8014, prior_entropy: 1.9991, recall: 0.8014, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.7787, kappa: 0.7132, kb_relative_information_score: 0.7415, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7755, predictive_accuracy: 0.7849, prior_entropy: 1.9991, recall: 0.7849, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.328, root_relative_squared_error: 0.7576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8158, kappa: 0.7572, kb_relative_information_score: 0.7811, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8142, predictive_accuracy: 0.818, prior_entropy: 1.9991, recall: 0.818, relative_absolute_error: 0.2428, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.8073, kappa: 0.7462, kb_relative_information_score: 0.7712, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8056, predictive_accuracy: 0.8097, prior_entropy: 1.9991, recall: 0.8097, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.7125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.6282, kappa: 0.4709, kb_relative_information_score: 0.5219, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6864, predictive_accuracy: 0.604, prior_entropy: 1.9991, recall: 0.604, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.445, root_relative_squared_error: 1.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7917, kappa: 0.7273, kb_relative_information_score: 0.7541, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7891, predictive_accuracy: 0.7955, prior_entropy: 1.9991, recall: 0.7955, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.7386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8542, kappa: 0.8045, kb_relative_information_score: 0.8235, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8552, predictive_accuracy: 0.8534, prior_entropy: 1.9991, recall: 0.8534, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.6253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7244, kappa: 0.6502, kb_relative_information_score: 0.6844, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7247, predictive_accuracy: 0.7376, prior_entropy: 1.9991, recall: 0.7376, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.8367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.852, kappa: 0.8013, kb_relative_information_score: 0.8206, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8532, predictive_accuracy: 0.8511, prior_entropy: 1.9991, recall: 0.8511, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.6782, kappa: 0.5985, kb_relative_information_score: 0.6374, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6848, predictive_accuracy: 0.6986, prior_entropy: 1.9991, recall: 0.6986, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8176, kappa: 0.7604, kb_relative_information_score: 0.784, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8157, predictive_accuracy: 0.8203, prior_entropy: 1.9991, recall: 0.8203, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.4989, kappa: 0.426, kb_relative_information_score: 0.481, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4647, predictive_accuracy: 0.5686, prior_entropy: 1.9991, recall: 0.5686, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.0728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.6744, kappa: 0.5972, kb_relative_information_score: 0.6363, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6891, predictive_accuracy: 0.6974, prior_entropy: 1.9991, recall: 0.6974, relative_absolute_error: 0.4036, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.389, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8063, kappa: 0.7398, kb_relative_information_score: 0.7652, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.808, predictive_accuracy: 0.805, prior_entropy: 1.9991, recall: 0.805, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8111, kappa: 0.7509, kb_relative_information_score: 0.7755, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.81, predictive_accuracy: 0.8132, prior_entropy: 1.9991, recall: 0.8132, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.7059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.558, f_measure: 0.2678, kappa: 0.1166, kb_relative_information_score: 0.2001, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.3406, predictive_accuracy: 0.3369, prior_entropy: 1.9991, recall: 0.3369, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5758, root_relative_squared_error: 1.3301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.566, f_measure: 0.2776, kappa: 0.1325, kb_relative_information_score: 0.2143, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.3581, predictive_accuracy: 0.3487, prior_entropy: 1.9991, recall: 0.3487, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5707, root_relative_squared_error: 1.3182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8474, kappa: 0.795, kb_relative_information_score: 0.8149, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8488, predictive_accuracy: 0.8463, prior_entropy: 1.9991, recall: 0.8463, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.6403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8637, kappa: 0.8171, kb_relative_information_score: 0.8348, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8647, predictive_accuracy: 0.8629, prior_entropy: 1.9991, recall: 0.8629, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.6048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7212, kappa: 0.6199, kb_relative_information_score: 0.6568, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7285, predictive_accuracy: 0.7151, prior_entropy: 1.9991, recall: 0.7151, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.8718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.6902, kappa: 0.5694, kb_relative_information_score: 0.611, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7103, predictive_accuracy: 0.6773, prior_entropy: 1.9991, recall: 0.6773, relative_absolute_error: 0.4304, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.7808, kappa: 0.7051, kb_relative_information_score: 0.7339, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.783, predictive_accuracy: 0.779, prior_entropy: 1.9991, recall: 0.779, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7566, kappa: 0.6864, kb_relative_information_score: 0.7173, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7525, predictive_accuracy: 0.7648, prior_entropy: 1.9991, recall: 0.7648, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.5951, kappa: 0.4229, kb_relative_information_score: 0.4784, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6927, predictive_accuracy: 0.5686, prior_entropy: 1.9991, recall: 0.5686, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.0728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.6747, kappa: 0.5442, kb_relative_information_score: 0.5882, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.702, predictive_accuracy: 0.6584, prior_entropy: 1.9991, recall: 0.6584, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.9546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7928, kappa: 0.7225, kb_relative_information_score: 0.7496, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7939, predictive_accuracy: 0.792, prior_entropy: 1.9991, recall: 0.792, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8048, kappa: 0.7399, kb_relative_information_score: 0.7654, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8048, predictive_accuracy: 0.805, prior_entropy: 1.9991, recall: 0.805, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7476, kappa: 0.6754, kb_relative_information_score: 0.7073, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7433, predictive_accuracy: 0.7565, prior_entropy: 1.9991, recall: 0.7565, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7977, kappa: 0.7288, kb_relative_information_score: 0.7553, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7991, predictive_accuracy: 0.7967, prior_entropy: 1.9991, recall: 0.7967, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.7365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.829, kappa: 0.7714, kb_relative_information_score: 0.7938, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8295, predictive_accuracy: 0.8286, prior_entropy: 1.9991, recall: 0.8286, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.6762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7162, kappa: 0.6471, kb_relative_information_score: 0.6815, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7266, predictive_accuracy: 0.7352, prior_entropy: 1.9991, recall: 0.7352, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7751, kappa: 0.7084, kb_relative_information_score: 0.7371, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7732, predictive_accuracy: 0.7813, prior_entropy: 1.9991, recall: 0.7813, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8182, kappa: 0.7604, kb_relative_information_score: 0.784, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8166, predictive_accuracy: 0.8203, prior_entropy: 1.9991, recall: 0.8203, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.799, kappa: 0.7368, kb_relative_information_score: 0.7628, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7963, predictive_accuracy: 0.8026, prior_entropy: 1.9991, recall: 0.8026, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4672, f_measure: 0.202, kappa: -0.0668, kb_relative_information_score: 0.0279, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2527, predictive_accuracy: 0.195, prior_entropy: 1.9991, recall: 0.195, relative_absolute_error: 1.0737, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6344, root_relative_squared_error: 1.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.3286, kappa: 0.0925, kb_relative_information_score: 0.1747, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.3752, predictive_accuracy: 0.3168, prior_entropy: 1.9991, recall: 0.3168, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5845, root_relative_squared_error: 1.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8656, kappa: 0.8203, kb_relative_information_score: 0.8378, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8663, predictive_accuracy: 0.8652, prior_entropy: 1.9991, recall: 0.8652, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5533, f_measure: 0.2492, kappa: 0.1066, kb_relative_information_score: 0.1936, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6886, predictive_accuracy: 0.3357, prior_entropy: 1.9991, recall: 0.3357, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5763, root_relative_squared_error: 1.3313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.73, kappa: 0.6342, kb_relative_information_score: 0.6697, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7349, predictive_accuracy: 0.7258, prior_entropy: 1.9991, recall: 0.7258, relative_absolute_error: 0.3658, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7699, kappa: 0.6909, kb_relative_information_score: 0.721, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7716, predictive_accuracy: 0.7683, prior_entropy: 1.9991, recall: 0.7683, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8105, kappa: 0.751, kb_relative_information_score: 0.7755, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8085, predictive_accuracy: 0.8132, prior_entropy: 1.9991, recall: 0.8132, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.7059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.8005, kappa: 0.7368, kb_relative_information_score: 0.7627, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7988, predictive_accuracy: 0.8026, prior_entropy: 1.9991, recall: 0.8026, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7977, kappa: 0.7336, kb_relative_information_score: 0.7598, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7958, predictive_accuracy: 0.8002, prior_entropy: 1.9991, recall: 0.8002, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.316, root_relative_squared_error: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7713, kappa: 0.6925, kb_relative_information_score: 0.7224, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7732, predictive_accuracy: 0.7695, prior_entropy: 1.9991, recall: 0.7695, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.7842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8278, kappa: 0.7698, kb_relative_information_score: 0.7924, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8283, predictive_accuracy: 0.8274, prior_entropy: 1.9991, recall: 0.8274, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.6785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8584, kappa: 0.8108, kb_relative_information_score: 0.8293, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8586, predictive_accuracy: 0.8582, prior_entropy: 1.9991, recall: 0.8582, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.6152,

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