OpenML
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 19920 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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19920 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5352.9433, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5159.9497, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.1762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 361.8335, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7151, recall: 0.998, relative_absolute_error: 1.0643, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9082, kappa: 0.8614, kb_relative_information_score: 4292.6444, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9083, predictive_accuracy: 0.9085, prior_entropy: 1.7151, recall: 0.9085, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5274.2251, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0517, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 403.7157, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 1.0554, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9985, kappa: 0.9978, kb_relative_information_score: 5440.8822, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 1.7151, recall: 0.9985, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0255, root_relative_squared_error: 0.0627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.6447, kappa: 0.4667, kb_relative_information_score: 2328.4289, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6532, predictive_accuracy: 0.651, prior_entropy: 1.7151, recall: 0.651, relative_absolute_error: 0.6796, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5384.0143, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0187, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.0996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.876, kappa: 0.8129, kb_relative_information_score: 4241.9646, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8761, predictive_accuracy: 0.8761, prior_entropy: 1.7151, recall: 0.8761, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.5574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.6432, kappa: 0.4628, kb_relative_information_score: 2168.4731, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.648, predictive_accuracy: 0.6486, prior_entropy: 1.7151, recall: 0.6486, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8775, kappa: 0.8148, kb_relative_information_score: 4297.7282, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8783, predictive_accuracy: 0.8785, prior_entropy: 1.7151, recall: 0.8785, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.5141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.731, kappa: 0.5904, kb_relative_information_score: 2820.9907, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7413, predictive_accuracy: 0.7341, prior_entropy: 1.7151, recall: 0.7341, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.7473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9283, kappa: 0.8916, kb_relative_information_score: 4584.1397, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9283, predictive_accuracy: 0.9283, prior_entropy: 1.7151, recall: 0.9283, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.4234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5411.4962, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 5429.4443, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0363, root_relative_squared_error: 0.0893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8976, kappa: 0.8453, kb_relative_information_score: 4195.8579, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8976, predictive_accuracy: 0.8979, prior_entropy: 1.7151, recall: 0.8979, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.5144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.6552, kappa: 0.4825, kb_relative_information_score: 2349.9844, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.663, predictive_accuracy: 0.6607, prior_entropy: 1.7151, recall: 0.6607, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.6471, kappa: 0.471, kb_relative_information_score: 2326.1223, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6563, predictive_accuracy: 0.6529, prior_entropy: 1.7151, recall: 0.6529, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.6601, kappa: 0.4935, kb_relative_information_score: 2411.3119, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6784, predictive_accuracy: 0.6673, prior_entropy: 1.7151, recall: 0.6673, relative_absolute_error: 0.6669, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.8161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5329.5014, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9239, kappa: 0.885, kb_relative_information_score: 4556.3392, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9239, predictive_accuracy: 0.9239, prior_entropy: 1.7151, recall: 0.9239, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, kappa: 0.2887, kb_relative_information_score: 1352.8204, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5544, prior_entropy: 1.7151, recall: 0.5544, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.9284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.816, kappa: 0.7191, kb_relative_information_score: 3580.0325, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.836, predictive_accuracy: 0.8171, prior_entropy: 1.7151, recall: 0.8171, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.6208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5350.2764, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 282.1202, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9983, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 1.0777, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4123, root_relative_squared_error: 1.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.796, kappa: 0.6927, kb_relative_information_score: 3441.6724, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7993, predictive_accuracy: 0.7999, prior_entropy: 1.7151, recall: 0.7999, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.6179, kappa: 0.4283, kb_relative_information_score: 2159.4207, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6369, predictive_accuracy: 0.625, prior_entropy: 1.7151, recall: 0.625, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.8631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9284, kappa: 0.8918, kb_relative_information_score: 4624.5245, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9285, predictive_accuracy: 0.9285, prior_entropy: 1.7151, recall: 0.9285, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 5395.1234, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7151, recall: 0.9969, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5406.9603, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 1.7151, recall: 0.996, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9985, kappa: 0.9978, kb_relative_information_score: 288.4209, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 1.7151, recall: 0.9985, relative_absolute_error: 1.0766, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4119, root_relative_squared_error: 1.0121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 534.3676, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, kappa: 0.045, kb_relative_information_score: 80.002, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4276, prior_entropy: 1.7151, recall: 0.4276, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5398.249, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 1.7151, recall: 0.996, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0403, root_relative_squared_error: 0.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5307.1987, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.1315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.5919, kappa: 0.3812, kb_relative_information_score: 1810.5089, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5992, predictive_accuracy: 0.6039, prior_entropy: 1.7151, recall: 0.6039, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.962, kappa: 0.9427, kb_relative_information_score: 4552.4814, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9633, predictive_accuracy: 0.9619, prior_entropy: 1.7151, recall: 0.9619, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.7177, kappa: 0.5805, kb_relative_information_score: 2636.1866, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7934, predictive_accuracy: 0.7254, prior_entropy: 1.7151, recall: 0.7254, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.7513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5390.7571, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9961, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.1064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.0505, kappa: 0.0062, kb_relative_information_score: 51.1088, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6798, predictive_accuracy: 0.1554, prior_entropy: 1.7151, recall: 0.1554, relative_absolute_error: 1.1485, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.1798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 5433.4184, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7151, recall: 0.9976, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0338, root_relative_squared_error: 0.0831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.8998, kappa: 0.8486, kb_relative_information_score: 4136.9804, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8998, predictive_accuracy: 0.9001, prior_entropy: 1.7151, recall: 0.9001, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.5253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.944, kappa: 0.9161, kb_relative_information_score: 60.7133, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9452, predictive_accuracy: 0.9446, prior_entropy: 1.7151, recall: 0.9446, relative_absolute_error: 1.1134, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.4825, kappa: 0.2551, kb_relative_information_score: 1126.0568, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4644, predictive_accuracy: 0.5235, prior_entropy: 1.7151, recall: 0.5235, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.9578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.4848, kappa: 0.2568, kb_relative_information_score: 1311.4633, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5066, predictive_accuracy: 0.5156, prior_entropy: 1.7151, recall: 0.5156, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.9568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 5431.2101, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0308, root_relative_squared_error: 0.0756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8455, kappa: 0.7654, kb_relative_information_score: 3748.2026, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8466, predictive_accuracy: 0.8462, prior_entropy: 1.7151, recall: 0.8462, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9851, kappa: 0.9775, kb_relative_information_score: 4676.133, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9851, predictive_accuracy: 0.9852, prior_entropy: 1.7151, recall: 0.9852, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5370.4921, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.0208, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.1185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8379, kappa: 0.7546, kb_relative_information_score: 3799.6323, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.839, predictive_accuracy: 0.8393, prior_entropy: 1.7151, recall: 0.8393, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 421.3098, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 1.0511, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 5400.2696, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7151, recall: 0.9969, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.6203, kappa: 0.4351, kb_relative_information_score: 2123.2842, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6378, predictive_accuracy: 0.6263, prior_entropy: 1.7151, recall: 0.6263, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5418.3911, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.1084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 282.3604, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9983, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 1.0777, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4123, root_relative_squared_error: 1.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5355.3607, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.046, root_relative_squared_error: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.6866, kappa: 0.5259, kb_relative_information_score: 2526.8335, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6925, predictive_accuracy: 0.6923, prior_entropy: 1.7151, recall: 0.6923, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.7966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.6781, kappa: 0.5102, kb_relative_information_score: 2292.2833, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7919, predictive_accuracy: 0.6882, prior_entropy: 1.7151, recall: 0.6882, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.7772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5403.894, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0122, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0403, root_relative_squared_error: 0.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5411.5909, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9288, kappa: 0.8923, kb_relative_information_score: 4906.5384, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.929, predictive_accuracy: 0.9289, prior_entropy: 1.7151, recall: 0.9289, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.994, kappa: 0.9909, kb_relative_information_score: 5332.6056, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 1.7151, recall: 0.994, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.053, root_relative_squared_error: 0.1301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9299, kappa: 0.894, kb_relative_information_score: 4726.0066, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1.7151, recall: 0.93, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5371.3418, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0212, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9253, kappa: 0.8871, kb_relative_information_score: 4716.0912, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9254, predictive_accuracy: 0.9254, prior_entropy: 1.7151, recall: 0.9254, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.6926, kappa: 0.5382, kb_relative_information_score: 2539.4884, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7023, predictive_accuracy: 0.6981, prior_entropy: 1.7151, recall: 0.6981, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5373.9628, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.6567, kappa: 0.486, kb_relative_information_score: 2282.761, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6644, predictive_accuracy: 0.6618, prior_entropy: 1.7151, recall: 0.6618, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.34, root_relative_squared_error: 0.8354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9807, kappa: 0.9709, kb_relative_information_score: 125.593, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9807, predictive_accuracy: 0.9808, prior_entropy: 1.7151, recall: 0.9808, relative_absolute_error: 1.1006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4211, root_relative_squared_error: 1.0348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9936, kappa: 0.9903, kb_relative_information_score: 5340.2425, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 1.7151, recall: 0.9936, relative_absolute_error: 0.0303, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5410.189, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.1222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5319.5578, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5292.0994, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5364.0111, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.5276, kappa: 0.2889, kb_relative_information_score: 1430.0597, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5386, predictive_accuracy: 0.5526, prior_entropy: 1.7151, recall: 0.5526, relative_absolute_error: 0.8435, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.7227, kappa: 0.581, kb_relative_information_score: 2854.6966, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.729, predictive_accuracy: 0.7286, prior_entropy: 1.7151, recall: 0.7286, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.7511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5424.1944, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.039, root_relative_squared_error: 0.0958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5413.9449, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0073, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 456.2476, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9972, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 1.046, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, kappa: 0.0855, kb_relative_information_score: 237.7754, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4452, prior_entropy: 1.7151, recall: 0.4452, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4075, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 360.8696, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7151, recall: 0.998, relative_absolute_error: 1.0645, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.3438, kappa: 0.044, kb_relative_information_score: 168.234, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3908, predictive_accuracy: 0.3908, prior_entropy: 1.7151, recall: 0.3908, relative_absolute_error: 1.0216, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4398, root_relative_squared_error: 1.0808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.6982, kappa: 0.5494, kb_relative_information_score: 2586.8103, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7101, predictive_accuracy: 0.7044, prior_entropy: 1.7151, recall: 0.7044, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.7909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.6849, kappa: 0.523, kb_relative_information_score: 2525.1371, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6907, predictive_accuracy: 0.6904, prior_entropy: 1.7151, recall: 0.6904, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 534.527, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9154, kappa: 0.8723, kb_relative_information_score: 4345.7214, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9154, predictive_accuracy: 0.9155, prior_entropy: 1.7151, recall: 0.9155, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 534.8589, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9206, kappa: 0.8799, kb_relative_information_score: 4569.2081, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9206, predictive_accuracy: 0.9206, prior_entropy: 1.7151, recall: 0.9206, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.7173, kappa: 0.5732, kb_relative_information_score: 2805.9075, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7235, predictive_accuracy: 0.7232, prior_entropy: 1.7151, recall: 0.7232, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5284.4821, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9942, predictive_accuracy: 0.9941, prior_entropy: 1.7151, recall: 0.9941, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0586, root_relative_squared_error: 0.1441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5362.8783, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 1.7151, recall: 0.996, relative_absolute_error: 0.0254, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.043, root_relative_squared_error: 0.1057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5132.5255, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 5436.6032, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7151, recall: 0.9978, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0303, root_relative_squared_error: 0.0746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5261.683, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 1.7151, recall: 0.993, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9951, kappa: 0.9925, kb_relative_information_score: 5376.8352, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.1101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.6263, kappa: 0.4479, kb_relative_information_score: 2183.4569, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7848, predictive_accuracy: 0.6448, prior_entropy: 1.7151, recall: 0.6448, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.8063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.7648, kappa: 0.6441, kb_relative_information_score: 3204.0236, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7707, predictive_accuracy: 0.7691, prior_entropy: 1.7151, recall: 0.7691, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.6956,

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