Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 20384 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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20384 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8836, kappa: 0.8255, kb_relative_information_score: 4634.7771, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8902, predictive_accuracy: 0.8821, prior_entropy: 1.7151, recall: 0.8821, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.231, root_relative_squared_error: 0.5676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.6736, kappa: 0.5175, kb_relative_information_score: 2427.0161, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.683, predictive_accuracy: 0.6716, prior_entropy: 1.7151, recall: 0.6716, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.8286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.5418, kappa: 0.3449, kb_relative_information_score: 1193.347, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.679, predictive_accuracy: 0.596, prior_entropy: 1.7151, recall: 0.596, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8888, kappa: 0.832, kb_relative_information_score: 4608.6214, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8888, predictive_accuracy: 0.8887, prior_entropy: 1.7151, recall: 0.8887, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.5796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.905, kappa: 0.8562, kb_relative_information_score: 4702.4798, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9055, predictive_accuracy: 0.9054, prior_entropy: 1.7151, recall: 0.9054, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.737, kappa: 0.6808, kb_relative_information_score: 188.884, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8425, predictive_accuracy: 0.8048, prior_entropy: 1.7151, recall: 0.8048, relative_absolute_error: 1.0895, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.0264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5412.071, mean_absolute_error: 0.0023, 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: 0.0069, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.2357, kappa: 0.0013, kb_relative_information_score: 699.5726, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4865, predictive_accuracy: 0.4047, prior_entropy: 1.7151, recall: 0.4047, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5456, root_relative_squared_error: 1.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5409.9958, mean_absolute_error: 0.0034, 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: 0.0102, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0445, root_relative_squared_error: 0.1093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9618, kappa: 0.9424, kb_relative_information_score: 5041.2931, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 1.7151, recall: 0.9619, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.3064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9069, kappa: 0.8579, kb_relative_information_score: 3672.0209, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9131, predictive_accuracy: 0.9073, prior_entropy: 1.7151, recall: 0.9073, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.6285, kappa: 0.5004, kb_relative_information_score: 2135.9895, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6159, predictive_accuracy: 0.6994, prior_entropy: 1.7151, recall: 0.6994, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5387.3551, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 1.7151, recall: 0.993, relative_absolute_error: 0.0135, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.1417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 5238.6075, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9832, predictive_accuracy: 0.9831, prior_entropy: 1.7151, recall: 0.9831, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.2192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9871, kappa: 0.9806, kb_relative_information_score: 5175.5899, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9872, predictive_accuracy: 0.9872, prior_entropy: 1.7151, recall: 0.9872, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.1802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5386.5292, mean_absolute_error: 0.0055, 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: 0.0168, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.1213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5403.8022, mean_absolute_error: 0.0039, 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: 0.0118, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5333.3674, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9911, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.0285, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.1535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.7432, kappa: 0.6809, kb_relative_information_score: 219.5934, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8377, predictive_accuracy: 0.8043, prior_entropy: 1.7151, recall: 0.8043, relative_absolute_error: 1.0838, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.6287, kappa: 0.5008, kb_relative_information_score: 2140.3555, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.616, predictive_accuracy: 0.6996, prior_entropy: 1.7151, recall: 0.6996, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.5359, kappa: 0.3668, kb_relative_information_score: 2316.9006, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6315, predictive_accuracy: 0.5317, prior_entropy: 1.7151, recall: 0.5317, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.0512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.6992, kappa: 0.5463, kb_relative_information_score: 2802.8562, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.745, predictive_accuracy: 0.7157, prior_entropy: 1.7151, recall: 0.7157, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5386.8044, mean_absolute_error: 0.005, 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: 0.0152, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0564, root_relative_squared_error: 0.1386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9925, kappa: 0.9886, kb_relative_information_score: 5273.7422, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 1.7151, recall: 0.9925, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.1615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.5325, kappa: 0.363, kb_relative_information_score: 2278.2721, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6285, predictive_accuracy: 0.5286, prior_entropy: 1.7151, recall: 0.5286, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4343, root_relative_squared_error: 1.0672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8476, kappa: 0.769, kb_relative_information_score: 1970.6646, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8504, predictive_accuracy: 0.8493, prior_entropy: 1.7151, recall: 0.8493, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.8215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5408.7908, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9497, kappa: 0.9241, kb_relative_information_score: 5060.8595, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9499, predictive_accuracy: 0.9498, prior_entropy: 1.7151, recall: 0.9498, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.15, root_relative_squared_error: 0.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5265.5295, mean_absolute_error: 0.018, 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: 0.0543, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.1406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9916, kappa: 0.9873, kb_relative_information_score: 5374.7153, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 1.7151, recall: 0.9916, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.1571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5091.1801, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.2057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8888, kappa: 0.832, kb_relative_information_score: 4606.2341, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8888, predictive_accuracy: 0.8887, prior_entropy: 1.7151, recall: 0.8887, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.5793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 5435.7951, mean_absolute_error: 0.0013, 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: 0.004, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0338, root_relative_squared_error: 0.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5402.016, mean_absolute_error: 0.0034, 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: 0.0103, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.5296, kappa: 0.3599, kb_relative_information_score: 72.5546, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6264, predictive_accuracy: 0.5258, prior_entropy: 1.7151, recall: 0.5258, relative_absolute_error: 1.1184, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.428, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8526, kappa: 0.7753, kb_relative_information_score: 3775.6331, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8598, predictive_accuracy: 0.8543, prior_entropy: 1.7151, recall: 0.8543, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.236, root_relative_squared_error: 0.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9721, kappa: 0.9579, kb_relative_information_score: 5223.8168, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9722, predictive_accuracy: 0.9721, prior_entropy: 1.7151, recall: 0.9721, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.118, root_relative_squared_error: 0.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5396.731, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7151, recall: 0.9941, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.1287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8871, kappa: 0.8295, kb_relative_information_score: 4530.6492, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8872, predictive_accuracy: 0.8871, prior_entropy: 1.7151, recall: 0.8871, relative_absolute_error: 0.2015, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.5288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9884, kappa: 0.9826, kb_relative_information_score: 5265.4394, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9884, predictive_accuracy: 0.9885, prior_entropy: 1.7151, recall: 0.9885, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.1751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5395.2205, mean_absolute_error: 0.0041, 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: 0.0125, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.1274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.5424, kappa: 0.3366, kb_relative_information_score: 1281.0353, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6336, predictive_accuracy: 0.5869, prior_entropy: 1.7151, recall: 0.5869, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9929, kappa: 0.9892, kb_relative_information_score: 5384.5907, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7151, recall: 0.9929, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0575, root_relative_squared_error: 0.1414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9916, kappa: 0.9873, kb_relative_information_score: 5369.2059, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 1.7151, recall: 0.9916, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.062, root_relative_squared_error: 0.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9886, kappa: 0.9828, kb_relative_information_score: 5339.1554, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 1.7151, recall: 0.9886, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.1766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.6287, kappa: 0.5008, kb_relative_information_score: 2419.6812, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.616, predictive_accuracy: 0.6996, prior_entropy: 1.7151, recall: 0.6996, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9859, kappa: 0.9787, kb_relative_information_score: 5308.867, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 1.7151, recall: 0.9859, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.081, root_relative_squared_error: 0.1991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9744, kappa: 0.9612, kb_relative_information_score: 5208.5061, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9755, predictive_accuracy: 0.9742, prior_entropy: 1.7151, recall: 0.9742, relative_absolute_error: 0.0578, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.104, root_relative_squared_error: 0.2557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.7369, kappa: 0.6128, kb_relative_information_score: 3266.9365, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7513, predictive_accuracy: 0.7549, prior_entropy: 1.7151, recall: 0.7549, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.7968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.6287, kappa: 0.5008, kb_relative_information_score: 2415.8771, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.616, predictive_accuracy: 0.6996, prior_entropy: 1.7151, recall: 0.6996, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.7783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.905, kappa: 0.8562, kb_relative_information_score: 4702.4798, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9055, predictive_accuracy: 0.9054, prior_entropy: 1.7151, recall: 0.9054, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9662, kappa: 0.949, kb_relative_information_score: 5079.7272, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9664, predictive_accuracy: 0.9663, prior_entropy: 1.7151, recall: 0.9663, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.3011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.95, kappa: 0.9246, kb_relative_information_score: 4938.8824, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9508, predictive_accuracy: 0.9498, prior_entropy: 1.7151, recall: 0.9498, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.3586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9416, kappa: 0.9117, kb_relative_information_score: 4786.9997, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9435, predictive_accuracy: 0.9415, prior_entropy: 1.7151, recall: 0.9415, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9402, kappa: 0.9096, kb_relative_information_score: 4753.9522, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9427, predictive_accuracy: 0.9402, prior_entropy: 1.7151, recall: 0.9402, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.4076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9276, kappa: 0.89, kb_relative_information_score: 4640.9661, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9303, predictive_accuracy: 0.9278, prior_entropy: 1.7151, recall: 0.9278, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.4347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9922, kb_relative_information_score: 5258.3525, mean_absolute_error: 0.0186, 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: 0.0563, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.059, root_relative_squared_error: 0.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5326.6548, mean_absolute_error: 0.0121, 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: 0.0365, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.1188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9795, kappa: 0.969, kb_relative_information_score: 5292.5407, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 1.7151, recall: 0.9795, relative_absolute_error: 0.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5362.6161, mean_absolute_error: 0.0085, 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: 0.0256, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.1074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5388.5906, mean_absolute_error: 0.0058, 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: 0.0176, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.039, root_relative_squared_error: 0.0959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9901, kappa: 0.985, kb_relative_information_score: 5240.1308, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 1.7151, recall: 0.9901, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.3924, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, 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: 1, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5403.4466, mean_absolute_error: 0.0044, 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: 0.0132, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0371, root_relative_squared_error: 0.0911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5412.5148, mean_absolute_error: 0.0032, 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: 0.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.0952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9888, kappa: 0.9831, kb_relative_information_score: 5185.7723, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 1.7151, recall: 0.9888, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5333.7777, mean_absolute_error: 0.0106, 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: 0.0321, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.055, root_relative_squared_error: 0.1352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5016.7142, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 1.7151, recall: 0.9927, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.2273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9888, kappa: 0.9831, kb_relative_information_score: 5185.7723, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 1.7151, recall: 0.9888, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.6994, kappa: 0.5433, kb_relative_information_score: 2747.2085, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7025, predictive_accuracy: 0.7014, prior_entropy: 1.7151, recall: 0.7014, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.7686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5412.5148, mean_absolute_error: 0.0032, 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: 0.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.0952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5412.5148, mean_absolute_error: 0.0032, 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: 0.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.0952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5412.5148, mean_absolute_error: 0.0032, 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: 0.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.0952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5307.5711, mean_absolute_error: 0.0138, 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: 0.0417, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0532, root_relative_squared_error: 0.1307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5412.5148, mean_absolute_error: 0.0032, 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: 0.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.0952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5412.5148, mean_absolute_error: 0.0032, 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: 0.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.0952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5412.5148, mean_absolute_error: 0.0032, 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: 0.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.0952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5412.5148, mean_absolute_error: 0.0032, 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: 0.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.0952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9567, kappa: 0.9346, kb_relative_information_score: 5063.8868, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 1.7151, recall: 0.9567, relative_absolute_error: 0.0788, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.3308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.7482, kappa: 0.6326, kb_relative_information_score: 3299.3869, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7902, predictive_accuracy: 0.7614, prior_entropy: 1.7151, recall: 0.7614, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.8072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5395.0263, mean_absolute_error: 0.0038, 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: 0.0116, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 5433.6206, 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: 0.0037, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0337, root_relative_squared_error: 0.0829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5421.7094, mean_absolute_error: 0.002, 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: 0.006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0417, root_relative_squared_error: 0.1024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5420.3869, mean_absolute_error: 0.0021, 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: 0.0063, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9224, kappa: 0.8822, kb_relative_information_score: 4730.5003, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9238, predictive_accuracy: 0.9225, prior_entropy: 1.7151, recall: 0.9225, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.4383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8816, kappa: 0.8209, kb_relative_information_score: 4481.6719, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.882, predictive_accuracy: 0.8814, prior_entropy: 1.7151, recall: 0.8814, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.5532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.899, kappa: 0.8475, kb_relative_information_score: 4573.0645, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8989, predictive_accuracy: 0.8994, prior_entropy: 1.7151, recall: 0.8994, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.5032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9009, kappa: 0.8501, kb_relative_information_score: 4673.0538, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9013, predictive_accuracy: 0.9008, prior_entropy: 1.7151, recall: 0.9008, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5419.0514, mean_absolute_error: 0.0021, 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: 0.0064, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.1099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9294, kappa: 0.8933, kb_relative_information_score: 4914.4447, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9294, predictive_accuracy: 0.9294, prior_entropy: 1.7151, recall: 0.9294, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9921, kappa: 0.9881, kb_relative_information_score: 5391.0842, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 1.7151, recall: 0.9921, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.1543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8877, kappa: 0.8303, kb_relative_information_score: 4602.2268, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8878, predictive_accuracy: 0.8876, prior_entropy: 1.7151, recall: 0.8876, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.6564, kappa: 0.4817, kb_relative_information_score: 2764.128, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6731, predictive_accuracy: 0.6701, prior_entropy: 1.7151, recall: 0.6701, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5427.4669, mean_absolute_error: 0.0017, 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: 0.005, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.0998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.5296, kappa: 0.3599, kb_relative_information_score: 2249.9467, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6262, predictive_accuracy: 0.5258, prior_entropy: 1.7151, recall: 0.5258, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.1965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5411.6335, mean_absolute_error: 0.0032, 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: 0.0096, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0401, root_relative_squared_error: 0.0986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.628, kappa: 0.4995, kb_relative_information_score: 2136.8287, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6158, predictive_accuracy: 0.6989, prior_entropy: 1.7151, recall: 0.6989, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9709, kappa: 0.956, kb_relative_information_score: 4982.6635, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.971, predictive_accuracy: 0.9709, prior_entropy: 1.7151, recall: 0.9709, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.6236, kappa: 0.4773, kb_relative_information_score: 2954.9968, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7491, predictive_accuracy: 0.6802, prior_entropy: 1.7151, recall: 0.6802, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.5296, kappa: 0.3599, kb_relative_information_score: 2260.3278, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6262, predictive_accuracy: 0.5258, prior_entropy: 1.7151, recall: 0.5258, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0742,

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