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: 0.9999, f_measure: 0.9916, kappa: 0.9873, kb_relative_information_score: 0.9756, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 1.7146, recall: 0.9916, relative_absolute_error: 0.0345, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 0.9966, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7146, recall: 0.9978, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0319, root_relative_squared_error: 0.0783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9323, kappa: 0.8975, kb_relative_information_score: 0.8366, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9339, predictive_accuracy: 0.9322, prior_entropy: 1.7146, recall: 0.9322, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7146, recall: 0.9976, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0337, root_relative_squared_error: 0.0829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 0.9868, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7146, recall: 0.991, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.1512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9846, kappa: 0.9767, kb_relative_information_score: 0.949, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9847, predictive_accuracy: 0.9846, prior_entropy: 1.7146, recall: 0.9846, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.1927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: -0.0001, kb_relative_information_score: 0.0237, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.2989, prior_entropy: 1.7146, recall: 0.2989, relative_absolute_error: 1.0582, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5921, root_relative_squared_error: 1.4549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 0.9959, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7146, recall: 0.9973, relative_absolute_error: 0.0044, 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: 0.9992, f_measure: 0.9809, kappa: 0.9712, kb_relative_information_score: 0.972, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 1.7146, recall: 0.9809, relative_absolute_error: 0.0304, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.2329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9089, kappa: 0.8629, kb_relative_information_score: 0.8583, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9091, predictive_accuracy: 0.9095, prior_entropy: 1.7146, recall: 0.9095, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9872, kappa: 0.9806, kb_relative_information_score: 0.9822, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9872, predictive_accuracy: 0.9872, prior_entropy: 1.7146, recall: 0.9872, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.1834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9859, kb_relative_information_score: 0.9863, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 1.7146, recall: 0.9907, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.1584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 0.9858, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7146, recall: 0.991, relative_absolute_error: 0.0145, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0659, root_relative_squared_error: 0.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 0.9875, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7146, recall: 0.9914, relative_absolute_error: 0.0132, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.1484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9807, kappa: 0.9709, kb_relative_information_score: 0.97, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9808, predictive_accuracy: 0.9808, prior_entropy: 1.7146, recall: 0.9808, relative_absolute_error: 0.0365, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.2073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9961, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 1.7146, recall: 0.9974, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0324, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.0899, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3658, prior_entropy: 1.7146, recall: 0.3658, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5631, root_relative_squared_error: 1.3837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9815, kappa: 0.972, kb_relative_information_score: 0.974, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9815, predictive_accuracy: 0.9815, prior_entropy: 1.7146, recall: 0.9815, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.2249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9802, kappa: 0.9701, kb_relative_information_score: 0.9724, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 1.7146, recall: 0.9802, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.2238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0002, kb_relative_information_score: 0.1013, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3748, prior_entropy: 1.7146, recall: 0.3748, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5591, root_relative_squared_error: 1.3739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9859, kb_relative_information_score: 0.9864, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 1.7146, recall: 0.9907, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.1569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9823, kb_relative_information_score: 0.9829, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 1.7146, recall: 0.9883, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.1748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 0.9968, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1.7146, recall: 0.9982, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0303, root_relative_squared_error: 0.0745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9707, kappa: 0.9558, kb_relative_information_score: 0.9589, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 1.7146, recall: 0.9707, relative_absolute_error: 0.0464, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9094, kappa: 0.8637, kb_relative_information_score: 0.8475, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9097, predictive_accuracy: 0.91, prior_entropy: 1.7146, recall: 0.91, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.4618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9798, kappa: 0.9696, kb_relative_information_score: 0.9596, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 1.7146, recall: 0.9798, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9794, kappa: 0.9689, kb_relative_information_score: 0.6095, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9799, predictive_accuracy: 0.9795, prior_entropy: 1.7146, recall: 0.9795, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9809, kappa: 0.9712, kb_relative_information_score: 0.9737, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 1.7146, recall: 0.9809, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.092, root_relative_squared_error: 0.2261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2763, kappa: -0.0001, kb_relative_information_score: -0.011, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3376, predictive_accuracy: 0.2555, prior_entropy: 1.7146, recall: 0.2555, relative_absolute_error: 1.1238, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.6101, root_relative_squared_error: 1.4993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9809, kappa: 0.9712, kb_relative_information_score: 0.9739, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 1.7146, recall: 0.9809, relative_absolute_error: 0.0293, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.2203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9859, kb_relative_information_score: 0.9862, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 1.7146, recall: 0.9907, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.1562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9972, predictive_accuracy: 0.9973, prior_entropy: 1.7146, recall: 0.9973, relative_absolute_error: 0.0047, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0344, root_relative_squared_error: 0.0846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7146, recall: 0.9954, relative_absolute_error: 0.0087, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7146, recall: 0.9952, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.043, root_relative_squared_error: 0.1056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7146, recall: 0.9976, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0329, root_relative_squared_error: 0.0808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0001, kb_relative_information_score: 0.0585, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3262, prior_entropy: 1.7146, recall: 0.3262, relative_absolute_error: 1.017, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5804, root_relative_squared_error: 1.4263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9471, kappa: 0.9203, kb_relative_information_score: 0.897, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9474, predictive_accuracy: 0.947, prior_entropy: 1.7146, recall: 0.947, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.3431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.2734, kappa: -0.0001, kb_relative_information_score: -0.0127, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.337, predictive_accuracy: 0.2535, prior_entropy: 1.7146, recall: 0.2535, relative_absolute_error: 1.1269, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.6109, root_relative_squared_error: 1.5013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9874, kappa: 0.9809, kb_relative_information_score: 0.9754, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 1.7146, recall: 0.9874, relative_absolute_error: 0.0327, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0659, root_relative_squared_error: 0.1619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9877, kappa: 0.9815, kb_relative_information_score: 0.9827, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9877, predictive_accuracy: 0.9877, prior_entropy: 1.7146, recall: 0.9877, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.1801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9901, kappa: 0.985, kb_relative_information_score: 0.9856, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 1.7146, recall: 0.9901, relative_absolute_error: 0.0145, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7146, recall: 0.9976, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0327, root_relative_squared_error: 0.0804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9868, kappa: 0.9801, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 1.7146, recall: 0.9868, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.1803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9897, kappa: 0.9845, kb_relative_information_score: 0.9634, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 1.7146, recall: 0.9897, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.063, root_relative_squared_error: 0.1547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3363, kappa: 0.0005, kb_relative_information_score: 0.0642, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.338, predictive_accuracy: 0.3369, prior_entropy: 1.7146, recall: 0.3369, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5758, root_relative_squared_error: 1.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9811, kappa: 0.9715, kb_relative_information_score: 0.9358, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9813, predictive_accuracy: 0.9811, prior_entropy: 1.7146, recall: 0.9811, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.9596, kb_relative_information_score: 0.9578, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9733, predictive_accuracy: 0.9732, prior_entropy: 1.7146, recall: 0.9732, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: -0.0181, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.2562, prior_entropy: 1.7146, recall: 0.2562, relative_absolute_error: 1.1227, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3228, kappa: 0.0003, kb_relative_information_score: 0.0436, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3378, predictive_accuracy: 0.3134, prior_entropy: 1.7146, recall: 0.3134, relative_absolute_error: 1.0364, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.4398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9863, kappa: 0.9792, kb_relative_information_score: 0.9799, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9863, predictive_accuracy: 0.9863, prior_entropy: 1.7146, recall: 0.9863, relative_absolute_error: 0.0226, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.1811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9811, kappa: 0.9715, kb_relative_information_score: 0.9735, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 1.7146, recall: 0.9811, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.2279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9961, kb_relative_information_score: 0.9945, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 1.7146, recall: 0.9974, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.031, root_relative_squared_error: 0.0762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 0.9968, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7146, recall: 0.998, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0311, root_relative_squared_error: 0.0765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 0.9934, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7146, recall: 0.9956, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9882, kappa: 0.9822, kb_relative_information_score: 0.6211, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 1.7146, recall: 0.9883, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9542, kappa: 0.9309, kb_relative_information_score: 0.9351, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 1.7146, recall: 0.9542, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.3304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9802, kappa: 0.9701, kb_relative_information_score: 0.9712, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 1.7146, recall: 0.9802, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.2196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9711, kappa: 0.9563, kb_relative_information_score: 0.9563, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9712, predictive_accuracy: 0.971, prior_entropy: 1.7146, recall: 0.971, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.2708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 0.9965, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7146, recall: 0.9976, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0341, root_relative_squared_error: 0.0838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.299, kappa: 0.0001, kb_relative_information_score: 0.0284, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3376, predictive_accuracy: 0.3002, prior_entropy: 1.7146, recall: 0.3002, relative_absolute_error: 1.0563, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5915, root_relative_squared_error: 1.4536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9422, kappa: 0.9125, kb_relative_information_score: 0.8623, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9435, predictive_accuracy: 0.9421, prior_entropy: 1.7146, recall: 0.9421, relative_absolute_error: 0.1916, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.3617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 0.9935, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7146, recall: 0.9956, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.1096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kappa: -0.0005, kb_relative_information_score: 0.1125, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.388, prior_entropy: 1.7146, recall: 0.388, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.3593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9804, kappa: 0.9704, kb_relative_information_score: 0.9722, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9804, predictive_accuracy: 0.9804, prior_entropy: 1.7146, recall: 0.9804, relative_absolute_error: 0.0304, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.2264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 0.9929, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7146, recall: 0.9952, relative_absolute_error: 0.0073, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.1139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 0.9856, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7146, recall: 0.9905, relative_absolute_error: 0.0147, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0654, root_relative_squared_error: 0.1606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.4807, kappa: 0.2103, kb_relative_information_score: 0.2633, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4848, predictive_accuracy: 0.4875, prior_entropy: 1.7146, recall: 0.4875, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.2439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.4626, kappa: 0.1812, kb_relative_information_score: 0.2407, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.46, predictive_accuracy: 0.4712, prior_entropy: 1.7146, recall: 0.4712, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.2635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 0.9934, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7146, recall: 0.9956, relative_absolute_error: 0.0066, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.1115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 0.9955, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7146, recall: 0.9969, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 0.9859, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9908, predictive_accuracy: 0.9908, prior_entropy: 1.7146, recall: 0.9908, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.1602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 0.9931, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7146, recall: 0.9958, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.1087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9809, kappa: 0.9712, kb_relative_information_score: 0.9728, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 1.7146, recall: 0.9809, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0006, kb_relative_information_score: 0.0779, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3481, prior_entropy: 1.7146, recall: 0.3481, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5709, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9899, kappa: 0.9848, kb_relative_information_score: 0.9567, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 1.7146, recall: 0.9899, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.1637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3124, kappa: 0, kb_relative_information_score: 0.0451, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3376, predictive_accuracy: 0.3152, prior_entropy: 1.7146, recall: 0.3152, relative_absolute_error: 1.0336, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5851, root_relative_squared_error: 1.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9866, kappa: 0.9798, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9866, predictive_accuracy: 0.9866, prior_entropy: 1.7146, recall: 0.9866, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.1627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 0.9772, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7146, recall: 0.9956, relative_absolute_error: 0.0359, 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: 0.982, f_measure: 0.9088, kappa: 0.8629, kb_relative_information_score: 0.8575, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9092, predictive_accuracy: 0.9095, prior_entropy: 1.7146, recall: 0.9095, relative_absolute_error: 0.1683, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6666, kappa: 0.4927, kb_relative_information_score: 0.527, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.667, predictive_accuracy: 0.6683, prior_entropy: 1.7146, recall: 0.6683, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4071, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8579, kappa: 0.7864, kb_relative_information_score: 0.7029, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8611, predictive_accuracy: 0.8592, prior_entropy: 1.7146, recall: 0.8592, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.5794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.98, kappa: 0.9698, kb_relative_information_score: 0.9712, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 1.7146, recall: 0.98, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.2304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9859, kb_relative_information_score: 0.9851, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 1.7146, recall: 0.9907, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9859, kb_relative_information_score: 0.9768, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9906, predictive_accuracy: 0.9907, prior_entropy: 1.7146, recall: 0.9907, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.1382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9897, kappa: 0.9845, kb_relative_information_score: 0.9825, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 1.7146, recall: 0.9897, relative_absolute_error: 0.0224, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.1418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9901, kappa: 0.985, kb_relative_information_score: 0.9784, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 1.7146, recall: 0.9901, relative_absolute_error: 0.0299, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9244, kappa: 0.8866, kb_relative_information_score: 0.8289, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9257, predictive_accuracy: 0.9243, prior_entropy: 1.7146, recall: 0.9243, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.4203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9721, kappa: 0.9579, kb_relative_information_score: 0.9256, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9723, predictive_accuracy: 0.9721, prior_entropy: 1.7146, recall: 0.9721, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.2515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.9109, kappa: 0.8654, kb_relative_information_score: 0.8739, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.911, predictive_accuracy: 0.9111, prior_entropy: 1.7146, recall: 0.9111, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.5181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9146, kappa: 0.8708, kb_relative_information_score: 0.8785, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9148, predictive_accuracy: 0.9148, prior_entropy: 1.7146, recall: 0.9148, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.787, kappa: 0.6642, kb_relative_information_score: 0.6887, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8415, predictive_accuracy: 0.7632, prior_entropy: 1.7146, recall: 0.7632, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9107, kappa: 0.865, kb_relative_information_score: 0.8739, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9109, predictive_accuracy: 0.9109, prior_entropy: 1.7146, recall: 0.9109, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.211, root_relative_squared_error: 0.5186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.9136, kappa: 0.8694, kb_relative_information_score: 0.8777, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9138, predictive_accuracy: 0.9139, prior_entropy: 1.7146, recall: 0.9139, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8918, kappa: 0.8364, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8924, predictive_accuracy: 0.8924, prior_entropy: 1.7146, recall: 0.8924, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.5699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8921, kappa: 0.8366, kb_relative_information_score: 0.8467, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8927, predictive_accuracy: 0.8926, prior_entropy: 1.7146, recall: 0.8926, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.7884, kappa: 0.6591, kb_relative_information_score: 0.6772, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8436, predictive_accuracy: 0.7606, prior_entropy: 1.7146, recall: 0.7606, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.346, root_relative_squared_error: 0.8501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.9107, kappa: 0.865, kb_relative_information_score: 0.8739, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9109, predictive_accuracy: 0.9109, prior_entropy: 1.7146, recall: 0.9109, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.211, root_relative_squared_error: 0.5186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.9076, kappa: 0.8603, kb_relative_information_score: 0.8695, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9078, predictive_accuracy: 0.9078, prior_entropy: 1.7146, recall: 0.9078, relative_absolute_error: 0.1392, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.5276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8224, kappa: 0.7217, kb_relative_information_score: 0.7433, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8546, predictive_accuracy: 0.8085, prior_entropy: 1.7146, recall: 0.8085, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.7605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.891, kappa: 0.8352, kb_relative_information_score: 0.8445, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8916, predictive_accuracy: 0.8917, prior_entropy: 1.7146, recall: 0.8917, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.5719,

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