OpenML
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: 0.8702, f_measure: 0.6719, kappa: 0.51, kb_relative_information_score: 2469.8332, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.689, predictive_accuracy: 0.6783, prior_entropy: 1.7151, recall: 0.6783, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.8083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5384.4917, mean_absolute_error: 0.0058, 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: 0.0174, 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: 0.9997, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5405.0808, mean_absolute_error: 0.0038, 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: 0.0114, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.04, root_relative_squared_error: 0.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 195.1446, mean_absolute_error: 0.3618, 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: 1.0921, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4178, root_relative_squared_error: 1.0267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.8837, kappa: 0.8244, kb_relative_information_score: 4009.5197, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8999, predictive_accuracy: 0.8849, prior_entropy: 1.7151, recall: 0.8849, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.5186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 402.447, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1.7151, recall: 0.9982, relative_absolute_error: 1.0555, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9949, kappa: 0.9922, kb_relative_information_score: 5335.7989, mean_absolute_error: 0.0107, 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: 0.0323, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9608, kappa: 0.9414, kb_relative_information_score: 144.5018, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9619, predictive_accuracy: 0.9613, prior_entropy: 1.7151, recall: 0.9613, relative_absolute_error: 1.0973, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4199, root_relative_squared_error: 1.0317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5353.8725, mean_absolute_error: 0.0089, 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: 0.0269, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.048, root_relative_squared_error: 0.1181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 268.9012, mean_absolute_error: 0.3576, 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: 1.0797, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.413, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5115.0279, mean_absolute_error: 0.0322, 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: 0.0973, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.1885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, f_measure: 0.3306, kappa: 0.0662, kb_relative_information_score: 491.9193, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4513, predictive_accuracy: 0.4157, prior_entropy: 1.7151, recall: 0.4157, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5072.5171, mean_absolute_error: 0.0363, 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: 0.1095, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.1985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5408.5294, mean_absolute_error: 0.0027, 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: 0.008, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5396.212, mean_absolute_error: 0.0044, 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: 0.0131, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9936, kappa: 0.9903, kb_relative_information_score: 5388.1712, mean_absolute_error: 0.0051, 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: 0.0153, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0474, root_relative_squared_error: 0.1164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5331.3844, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 1.7151, recall: 0.9932, relative_absolute_error: 0.0325, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.055, root_relative_squared_error: 0.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9908, kappa: 0.9861, kb_relative_information_score: 4967.9693, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9909, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.2296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9887, kappa: 0.9831, kb_relative_information_score: 4967.0118, mean_absolute_error: 0.0455, 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: 0.1372, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.2317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 252.3862, mean_absolute_error: 0.3582, 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: 1.0813, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4137, root_relative_squared_error: 1.0166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5349.3506, mean_absolute_error: 0.0098, 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: 0.0295, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.1112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 410.3988, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1.7151, recall: 0.9982, relative_absolute_error: 1.0535, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.403, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5353.0733, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.1316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.994, kappa: 0.9909, kb_relative_information_score: 5288.9424, mean_absolute_error: 0.0153, 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: 0.0462, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.1429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 310.2125, mean_absolute_error: 0.355, 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: 1.0716, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.41, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9904, kappa: 0.9856, kb_relative_information_score: 5078.5236, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5352.2992, mean_absolute_error: 0.0087, 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: 0.0263, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 288.9072, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1.7151, recall: 0.9982, relative_absolute_error: 1.0765, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5250.7276, mean_absolute_error: 0.0187, 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: 0.0565, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.1581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5371.54, mean_absolute_error: 0.0075, 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: 0.0226, 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: 0.9621, kappa: 0.7889, kb_relative_information_score: 98.7203, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.8655, prior_entropy: 1.7151, recall: 0.8655, relative_absolute_error: 1.1024, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.0365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9921, kappa: 0.9881, kb_relative_information_score: 5368.4104, mean_absolute_error: 0.0069, 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: 0.021, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.1272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9875, kb_relative_information_score: 5058.384, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 1.7151, recall: 0.9918, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.2131,
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: 0.9999, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5326.6246, mean_absolute_error: 0.0117, 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: 0.0355, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5254.0441, mean_absolute_error: 0.0188, 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: 0.0567, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.1494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 432.0535, mean_absolute_error: 0.3482, 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: 1.0511, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 5436.3518, 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: 0.0034, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0315, root_relative_squared_error: 0.0773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9161, kappa: 0.8731, kb_relative_information_score: 4537.863, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9162, predictive_accuracy: 0.9162, prior_entropy: 1.7151, recall: 0.9162, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9906, kappa: 0.9859, kb_relative_information_score: 4984.6299, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 1.7151, recall: 0.9907, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.2267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9929, kappa: 0.9892, kb_relative_information_score: 5373.6408, mean_absolute_error: 0.0063, 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: 0.0189, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5354.8173, mean_absolute_error: 0.0082, 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: 0.0247, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.1322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5359.9868, mean_absolute_error: 0.0086, 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: 0.0261, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.044, root_relative_squared_error: 0.1081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9936, kappa: 0.9903, kb_relative_information_score: 5362.436, mean_absolute_error: 0.0078, 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: 0.0237, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.1218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 328.7353, mean_absolute_error: 0.3536, 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: 1.0676, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4086, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5400.3292, mean_absolute_error: 0.0044, 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: 0.0133, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0397, root_relative_squared_error: 0.0976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5382.4103, mean_absolute_error: 0.0063, 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: 0.0191, 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: 0.9999, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5328.2189, mean_absolute_error: 0.0114, 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: 0.0345, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 5428.2105, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7151, recall: 0.9971, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0371, root_relative_squared_error: 0.0913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9722, kappa: 0.958, kb_relative_information_score: 120.4475, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9743, predictive_accuracy: 0.972, prior_entropy: 1.7151, recall: 0.972, relative_absolute_error: 1.1018, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.0358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5420.2032, mean_absolute_error: 0.0025, 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: 0.0076, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0357, root_relative_squared_error: 0.0878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5238.1446, mean_absolute_error: 0.0203, 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: 0.0614, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9925, kappa: 0.9886, kb_relative_information_score: 5061.6815, mean_absolute_error: 0.0372, 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: 0.1123, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.2042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.7194, kappa: 0.5764, kb_relative_information_score: 2816.4395, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7262, predictive_accuracy: 0.7258, prior_entropy: 1.7151, recall: 0.7258, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5208.6858, mean_absolute_error: 0.0232, 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: 0.0702, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.1603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5349.3954, mean_absolute_error: 0.0089, 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: 0.027, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0533, root_relative_squared_error: 0.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5282.6593, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 1.7151, recall: 0.9932, relative_absolute_error: 0.0469, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.1502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5319.7922, mean_absolute_error: 0.0125, 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: 0.0378, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9926, kappa: 0.9889, kb_relative_information_score: 5229.416, mean_absolute_error: 0.0209, 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: 0.0632, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.065, root_relative_squared_error: 0.1598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.7644, kappa: 0.6385, kb_relative_information_score: 3012.1019, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8162, predictive_accuracy: 0.7672, prior_entropy: 1.7151, recall: 0.7672, relative_absolute_error: 0.4906, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.6917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5252.2295, mean_absolute_error: 0.019, 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: 0.0574, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 425.8207, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1.7151, recall: 0.9982, relative_absolute_error: 1.0519, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5356.4407, 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: 0.027, 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: 0.9999, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5098.5336, mean_absolute_error: 0.0337, 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: 0.1017, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.1926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.6622, kappa: 0.4975, kb_relative_information_score: 2306.5464, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6695, predictive_accuracy: 0.6655, prior_entropy: 1.7151, recall: 0.6655, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5356.2395, mean_absolute_error: 0.0086, 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: 0.0259, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.1188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5414.5382, mean_absolute_error: 0.0025, 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: 0.0075, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.048, root_relative_squared_error: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9912, kappa: 0.9867, kb_relative_information_score: 5136.7316, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 1.7151, recall: 0.9912, relative_absolute_error: 0.0895, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5197.1233, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0727, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.1681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5316.4782, mean_absolute_error: 0.013, 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: 0.0393, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.1221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5268.7925, mean_absolute_error: 0.0174, 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: 0.0525, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0586, root_relative_squared_error: 0.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5367.0263, mean_absolute_error: 0.008, 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: 0.024, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5272.2567, mean_absolute_error: 0.0172, 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: 0.0521, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.1407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5406.8483, 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: 0.0103, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0421, root_relative_squared_error: 0.1034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5303.0146, mean_absolute_error: 0.0142, 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: 0.0428, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.1323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.994, kappa: 0.9909, kb_relative_information_score: 5315.7647, mean_absolute_error: 0.0127, 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: 0.0382, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5249.8016, mean_absolute_error: 0.0195, 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: 0.0587, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.1442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5289.0037, mean_absolute_error: 0.0151, 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: 0.0457, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0588, root_relative_squared_error: 0.1444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5384.8039, mean_absolute_error: 0.0056, 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: 0.0171, 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: 0.9977, f_measure: 0.9706, kappa: 0.9552, kb_relative_information_score: 4921.0471, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9732, predictive_accuracy: 0.9701, prior_entropy: 1.7151, recall: 0.9701, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5028.2212, mean_absolute_error: 0.0403, 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: 0.1216, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.087, root_relative_squared_error: 0.2137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5296.1346, mean_absolute_error: 0.0146, 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: 0.0442, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.1383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5242.537, mean_absolute_error: 0.0199, 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: 0.0601, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0618, root_relative_squared_error: 0.1519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5409.7309, mean_absolute_error: 0.0027, 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: 0.008, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5065.9459, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.083, root_relative_squared_error: 0.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5341.2255, mean_absolute_error: 0.0102, 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: 0.0308, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5369.9212, mean_absolute_error: 0.0077, 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: 0.0232, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.1022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5166.7584, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.1749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9921, kappa: 0.9881, kb_relative_information_score: 5357.4362, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9922, predictive_accuracy: 0.9921, prior_entropy: 1.7151, recall: 0.9921, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9936, kappa: 0.9903, kb_relative_information_score: 5343.1862, mean_absolute_error: 0.0099, 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: 0.0298, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.687, kappa: 0.5835, kb_relative_information_score: 2495.0127, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7335, predictive_accuracy: 0.7396, prior_entropy: 1.7151, recall: 0.7396, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.7821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9798, kappa: 0.9696, kb_relative_information_score: 121.8222, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.98, predictive_accuracy: 0.9798, prior_entropy: 1.7151, recall: 0.9798, relative_absolute_error: 1.1012, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4213, root_relative_squared_error: 1.0354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 534.1752, mean_absolute_error: 0.3415, 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: 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: 0.9997, f_measure: 0.9899, kappa: 0.9848, kb_relative_information_score: 4991.5287, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 1.7151, recall: 0.9899, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.2313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5371.9374, mean_absolute_error: 0.0067, 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: 0.0202, 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: 0.9902, kappa: 0.9853, kb_relative_information_score: 4946.1083, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 1.7151, recall: 0.9903, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.2362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5386.9692, mean_absolute_error: 0.0058, 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: 0.0175, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0421, root_relative_squared_error: 0.1036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 534.3151, 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: 0.9999, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5359.8337, mean_absolute_error: 0.0081, 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: 0.0244, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5329.5056, mean_absolute_error: 0.0112, 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: 0.0339, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0522, root_relative_squared_error: 0.1284,

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