Task
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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66544 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9896, kappa: 0.96, kb_relative_information_score: 5836.1537, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9896, predictive_accuracy: 0.9897, prior_entropy: 0.6204, recall: 0.9897, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.097, root_relative_squared_error: 0.2687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.98, kappa: 0.922, kb_relative_information_score: 5386.6334, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9802, predictive_accuracy: 0.9803, prior_entropy: 0.6204, recall: 0.9803, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9902, kappa: 0.9623, kb_relative_information_score: 5736.64, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6204, recall: 0.9903, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9962, kappa: 0.9854, kb_relative_information_score: 6205.3356, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.6204, recall: 0.9962, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.1847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9904, kappa: 0.9627, kb_relative_information_score: 5727.2977, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.6204, recall: 0.9905, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: 6426.1901, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 0.0304, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9902, kappa: 0.9623, kb_relative_information_score: 5710.9307, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6204, recall: 0.9903, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9831, kappa: 0.934, kb_relative_information_score: 5183.4168, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.6204, recall: 0.9833, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9848, kappa: 0.9409, kb_relative_information_score: 5327.1563, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 0.6204, recall: 0.985, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.3476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9898, kappa: 0.9605, kb_relative_information_score: 5636.7911, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.6204, recall: 0.9898, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.2929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: -4637.9947, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 1.1374, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.8279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9902, kappa: 0.9621, kb_relative_information_score: 5767.0805, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6204, recall: 0.9903, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.2708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9868, kappa: 0.9489, kb_relative_information_score: 5671.7095, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9869, predictive_accuracy: 0.987, prior_entropy: 0.6204, recall: 0.987, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.3083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9783, kb_relative_information_score: 6049.4573, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.6204, recall: 0.9944, relative_absolute_error: 0.0978, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9868, kappa: 0.949, kb_relative_information_score: 5224.5957, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9869, predictive_accuracy: 0.987, prior_entropy: 0.6204, recall: 0.987, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9951, kappa: 0.9813, kb_relative_information_score: 6240.037, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9951, predictive_accuracy: 0.9952, prior_entropy: 0.6204, recall: 0.9952, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.1863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9924, kappa: 0.9706, kb_relative_information_score: 5997.8319, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.6204, recall: 0.9924, relative_absolute_error: 0.1005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9877, kappa: 0.9524, kb_relative_information_score: 5709.1286, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9877, predictive_accuracy: 0.9877, prior_entropy: 0.6204, recall: 0.9877, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9928, kappa: 0.9724, kb_relative_information_score: 6166.8526, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.6204, recall: 0.9929, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9867, kappa: 0.9489, kb_relative_information_score: 5793.0601, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9867, predictive_accuracy: 0.9868, prior_entropy: 0.6204, recall: 0.9868, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.2939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9939, kappa: 0.9766, kb_relative_information_score: 6110.5542, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.6204, recall: 0.9939, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.2123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9977, kappa: 0.9913, kb_relative_information_score: 6248.2659, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0586, root_relative_squared_error: 0.1624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9953, kb_relative_information_score: 6439.0098, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0404, root_relative_squared_error: 0.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9891, kappa: 0.958, kb_relative_information_score: 5594.4057, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.6204, recall: 0.9892, relative_absolute_error: 0.1763, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.2982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.981, kappa: 0.9261, kb_relative_information_score: 5281.9761, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9813, predictive_accuracy: 0.9814, prior_entropy: 0.6204, recall: 0.9814, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.3673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 3666.1134, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9848, kappa: 0.9411, kb_relative_information_score: 5371.2261, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9849, predictive_accuracy: 0.985, prior_entropy: 0.6204, recall: 0.985, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9931, kappa: 0.9735, kb_relative_information_score: 5909.899, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.6204, recall: 0.9932, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.2412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9785, kappa: 0.9164, kb_relative_information_score: 5588.1305, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9786, predictive_accuracy: 0.9788, prior_entropy: 0.6204, recall: 0.9788, relative_absolute_error: 0.1382, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9904, kappa: 0.9628, kb_relative_information_score: 5721.6928, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.6204, recall: 0.9905, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.993, kappa: 0.973, kb_relative_information_score: 5953.6265, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.6204, recall: 0.993, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6323.8973, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.1417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6529.927, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0349, root_relative_squared_error: 0.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9887, kappa: 0.9561, kb_relative_information_score: 5668.8012, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 0.6204, recall: 0.9888, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.3005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9911, kappa: 0.9658, kb_relative_information_score: 5785.3144, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.6204, recall: 0.9912, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.2685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9931, kappa: 0.9736, kb_relative_information_score: 6078.061, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.6204, recall: 0.9932, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.2224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9867, kappa: 0.9484, kb_relative_information_score: 5484.9198, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 0.6204, recall: 0.9868, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9962, kappa: 0.9854, kb_relative_information_score: 6060.6322, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.6204, recall: 0.9962, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.2035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9865, kappa: 0.9479, kb_relative_information_score: 5529.9137, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9866, predictive_accuracy: 0.9867, prior_entropy: 0.6204, recall: 0.9867, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.996, kappa: 0.9848, kb_relative_information_score: 6254.1528, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9961, predictive_accuracy: 0.9961, prior_entropy: 0.6204, recall: 0.9961, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9912, kappa: 0.966, kb_relative_information_score: 5801.8941, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.6204, recall: 0.9912, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.2651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9866, kb_relative_information_score: 6246.4127, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.6204, recall: 0.9965, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.1776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9879, kappa: 0.9531, kb_relative_information_score: 5657.3115, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.6204, recall: 0.988, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.11, root_relative_squared_error: 0.3047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9924, kappa: 0.9706, kb_relative_information_score: 6016.5686, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.6204, recall: 0.9924, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9934, kappa: 0.9747, kb_relative_information_score: 6066.051, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.6204, recall: 0.9935, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.2265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9866, kappa: 0.9479, kb_relative_information_score: -5170.6374, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9869, predictive_accuracy: 0.9868, prior_entropy: 0.6204, recall: 0.9868, relative_absolute_error: 1.1886, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.985, kappa: 0.9416, kb_relative_information_score: 5703.5497, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9851, predictive_accuracy: 0.9851, prior_entropy: 0.6204, recall: 0.9851, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.3109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9956, kappa: 0.983, kb_relative_information_score: 6218.2685, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.6204, recall: 0.9956, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.1871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9809, kappa: 0.926, kb_relative_information_score: 5219.1381, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9811, predictive_accuracy: 0.9812, prior_entropy: 0.6204, recall: 0.9812, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.3701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.8754, kappa: 0.4626, kb_relative_information_score: 1898.2656, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9089, predictive_accuracy: 0.8978, prior_entropy: 0.6204, recall: 0.8978, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6532.455, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.1032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -5618.3824, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.212, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.8787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8918, kappa: 0.5418, kb_relative_information_score: -7819.8138, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9087, predictive_accuracy: 0.9068, prior_entropy: 0.6204, recall: 0.9068, relative_absolute_error: 1.4398, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3843, root_relative_squared_error: 1.0644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6395.6191, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0412, root_relative_squared_error: 0.1141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6550.4277, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0066, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.029, root_relative_squared_error: 0.0802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6545.6129, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0082, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.8136, kappa: 0.176, kb_relative_information_score: 774.6798, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8822, predictive_accuracy: 0.8631, prior_entropy: 0.6204, recall: 0.8631, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9967, kappa: 0.9871, kb_relative_information_score: 6402.5656, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.6204, recall: 0.9967, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.989, kappa: 0.9574, kb_relative_information_score: 5803.0079, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.6204, recall: 0.9891, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.2832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.987, kappa: 0.95, kb_relative_information_score: 5701.518, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.987, predictive_accuracy: 0.9871, prior_entropy: 0.6204, recall: 0.9871, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.107, root_relative_squared_error: 0.2964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 2532.1909, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9875, kappa: 0.9515, kb_relative_information_score: 5613.3201, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9875, predictive_accuracy: 0.9876, prior_entropy: 0.6204, recall: 0.9876, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9904, kappa: 0.9627, kb_relative_information_score: 5781.8908, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.6204, recall: 0.9905, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.2773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9406, kappa: 0.759, kb_relative_information_score: -7017.0498, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9447, predictive_accuracy: 0.9445, prior_entropy: 0.6204, recall: 0.9445, relative_absolute_error: 1.3706, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3659, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9431, kappa: 0.7674, kb_relative_information_score: -9235.8312, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9497, predictive_accuracy: 0.9474, prior_entropy: 0.6204, recall: 0.9474, relative_absolute_error: 1.5596, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4093, root_relative_squared_error: 1.1337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9861, kappa: 0.9463, kb_relative_information_score: 5673.6543, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9861, predictive_accuracy: 0.9862, prior_entropy: 0.6204, recall: 0.9862, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: -8680.5646, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 1.4955, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.391, root_relative_squared_error: 1.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: -10627.3165, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 1.6978, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4432, root_relative_squared_error: 1.2273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: -6219.3965, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 1.2564, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.997, kappa: 0.9883, kb_relative_information_score: 6046.0369, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.6204, recall: 0.997, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.062, root_relative_squared_error: 0.1717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9953, kb_relative_information_score: 6474.9978, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0218, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.037, root_relative_squared_error: 0.1024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9891, kappa: 0.9579, kb_relative_information_score: 5870.2686, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.6204, recall: 0.9892, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.2752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9895, kappa: 0.9597, kb_relative_information_score: 4817.7512, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 0.6204, recall: 0.9895, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.3626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 6208.6771, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.1438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: -10315.8587, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 1.6642, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4344, root_relative_squared_error: 1.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9977, kappa: 0.9913, kb_relative_information_score: 6315.4255, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9824, kappa: 0.9316, kb_relative_information_score: 5108.8836, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9827, predictive_accuracy: 0.9827, prior_entropy: 0.6204, recall: 0.9827, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.8868, kappa: 0.5148, kb_relative_information_score: 2593.4852, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9148, predictive_accuracy: 0.9053, prior_entropy: 0.6204, recall: 0.9053, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9901, kappa: 0.9616, kb_relative_information_score: 5891.6211, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.6204, recall: 0.9901, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.2732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, kb_relative_information_score: -20.4909, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 6510.9211, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0499, root_relative_squared_error: 0.1381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9938, kappa: 0.976, kb_relative_information_score: 6091.6423, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.6204, recall: 0.9938, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.2168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9947, kappa: 0.9795, kb_relative_information_score: 6068.2708, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.6204, recall: 0.9947, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.2151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9887, kappa: 0.9563, kb_relative_information_score: 5837.0232, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9887, predictive_accuracy: 0.9888, prior_entropy: 0.6204, recall: 0.9888, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.2743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9907, kappa: 0.9641, kb_relative_information_score: 5892.6793, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9907, predictive_accuracy: 0.9908, prior_entropy: 0.6204, recall: 0.9908, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.2555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9767, kappa: 0.9091, kb_relative_information_score: 5326.003, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9769, predictive_accuracy: 0.9771, prior_entropy: 0.6204, recall: 0.9771, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.3699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.983, kb_relative_information_score: 5991.011, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.6204, recall: 0.9956, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9386, kappa: 0.7502, kb_relative_information_score: -6770.377, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9432, predictive_accuracy: 0.9429, prior_entropy: 0.6204, recall: 0.9429, relative_absolute_error: 1.3513, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3617, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: 6516.0759, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 0.0099, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9819, kappa: 0.9302, kb_relative_information_score: 5723.4801, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9818, predictive_accuracy: 0.982, prior_entropy: 0.6204, recall: 0.982, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 5514.1863, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.078, root_relative_squared_error: 0.2159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.986, kappa: 0.9458, kb_relative_information_score: 5579.1794, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.6204, recall: 0.9862, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.3061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.989, kappa: 0.9574, kb_relative_information_score: 5841.8042, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.6204, recall: 0.9891, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1003, root_relative_squared_error: 0.2779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9712, kappa: 0.8872, kb_relative_information_score: 229.2628, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9715, predictive_accuracy: 0.9718, prior_entropy: 0.6204, recall: 0.9718, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.984, kappa: 0.9381, kb_relative_information_score: 5498.835, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 0.6204, recall: 0.9842, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.3386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9971, kappa: 0.9889, kb_relative_information_score: 6500.8186, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.6204, recall: 0.9971, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.997, kappa: 0.9883, kb_relative_information_score: 6196.5948, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.6204, recall: 0.997, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.1784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9925, kappa: 0.9711, kb_relative_information_score: 5801.5914, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.6204, recall: 0.9926, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.2551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6544.967, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0363, root_relative_squared_error: 0.1006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9931, kappa: 0.9735, kb_relative_information_score: 5894.3564, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.6204, recall: 0.9932, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.2451,

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