Task
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 9952 Supervised Classification phoneme 113807 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.585, kb_relative_information_score: 162.4223, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.9746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7357, kappa: 0.3437, kb_relative_information_score: 1239.4597, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7328, predictive_accuracy: 0.747, prior_entropy: 0.8733, recall: 0.747, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7386, kappa: 0.3523, kb_relative_information_score: 1273.8077, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7356, predictive_accuracy: 0.7487, prior_entropy: 0.8733, recall: 0.7487, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.6957, kappa: 0.233, kb_relative_information_score: 965.3529, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6991, predictive_accuracy: 0.7259, prior_entropy: 0.8733, recall: 0.7259, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7382, kappa: 0.351, kb_relative_information_score: 1272.4966, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7351, predictive_accuracy: 0.7483, prior_entropy: 0.8733, recall: 0.7483, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.6923, kappa: 0.2237, kb_relative_information_score: 922.5488, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6981, predictive_accuracy: 0.7258, prior_entropy: 0.8733, recall: 0.7258, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7379, kappa: 0.3502, kb_relative_information_score: 1267.1865, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7348, predictive_accuracy: 0.7482, prior_entropy: 0.8733, recall: 0.7482, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.6939, kappa: 0.2285, kb_relative_information_score: 962.219, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6969, predictive_accuracy: 0.7243, prior_entropy: 0.8733, recall: 0.7243, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.732, kappa: 0.3332, kb_relative_information_score: 1211.3827, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7294, predictive_accuracy: 0.7448, prior_entropy: 0.8733, recall: 0.7448, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7372, kappa: 0.348, kb_relative_information_score: 1255.9791, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7342, predictive_accuracy: 0.748, prior_entropy: 0.8733, recall: 0.748, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7337, kappa: 0.3383, kb_relative_information_score: 1232.7817, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7308, predictive_accuracy: 0.7456, prior_entropy: 0.8733, recall: 0.7456, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5347, f_measure: 0.585, kb_relative_information_score: 0.7227, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7111, kappa: 0.2745, kb_relative_information_score: 1028.2094, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7113, predictive_accuracy: 0.7333, prior_entropy: 0.8733, recall: 0.7333, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.5935, kappa: 0.0099, kb_relative_information_score: 563.3892, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6176, predictive_accuracy: 0.7037, prior_entropy: 0.8733, recall: 0.7037, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.5879, kappa: 0.0059, kb_relative_information_score: 464.3361, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7566, predictive_accuracy: 0.7076, prior_entropy: 0.8733, recall: 0.7076, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7285, kappa: 0.3235, kb_relative_information_score: 1192.0345, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.726, predictive_accuracy: 0.7424, prior_entropy: 0.8733, recall: 0.7424, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9003, kappa: 0.7582, kb_relative_information_score: 3304.6247, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9, predictive_accuracy: 0.901, prior_entropy: 0.8733, recall: 0.901, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.899, kappa: 0.7549, kb_relative_information_score: 3303.1208, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8987, predictive_accuracy: 0.8997, prior_entropy: 0.8733, recall: 0.8997, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8987, kappa: 0.7542, kb_relative_information_score: 3304.2876, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8984, predictive_accuracy: 0.8993, prior_entropy: 0.8733, recall: 0.8993, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.5985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.898, kappa: 0.7524, kb_relative_information_score: 3301.088, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8977, predictive_accuracy: 0.8988, prior_entropy: 0.8733, recall: 0.8988, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.898, kappa: 0.7526, kb_relative_information_score: 3305.8949, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8976, predictive_accuracy: 0.8986, prior_entropy: 0.8733, recall: 0.8986, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.5979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8986, kappa: 0.754, kb_relative_information_score: 3301.9767, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8982, predictive_accuracy: 0.8991, prior_entropy: 0.8733, recall: 0.8991, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8983, kappa: 0.7535, kb_relative_information_score: 3302.8565, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.898, predictive_accuracy: 0.899, prior_entropy: 0.8733, recall: 0.899, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8904, kappa: 0.7326, kb_relative_information_score: 3151.192, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8903, predictive_accuracy: 0.8919, prior_entropy: 0.8733, recall: 0.8919, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.6211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7524, kappa: 0.3907, kb_relative_information_score: 1343.5602, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7495, predictive_accuracy: 0.7587, prior_entropy: 0.8733, recall: 0.7587, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.878, scimark_benchmark: 1850.9434, usercpu_time_millis: 21.061, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 20.842,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1847.8034, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1839.1303, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7334, kappa: 0.3368, kb_relative_information_score: 1221.9691, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7307, predictive_accuracy: 0.7457, prior_entropy: 0.8733, recall: 0.7457, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.872, scimark_benchmark: 1849.447, usercpu_time_millis: 0.118, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1848.7304, usercpu_time_millis: 0.1, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1846.6923, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7391, kappa: 0.3535, kb_relative_information_score: 1276.4466, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.736, predictive_accuracy: 0.7491, prior_entropy: 0.8733, recall: 0.7491, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8727, scimark_benchmark: 1845.3208, usercpu_time_millis: 0.115, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7196, kappa: 0.2984, kb_relative_information_score: 1115.3577, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.718, predictive_accuracy: 0.7372, prior_entropy: 0.8733, recall: 0.7372, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8735, scimark_benchmark: 1849.8294, usercpu_time_millis: 0.13, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7122, kappa: 0.2784, kb_relative_information_score: 1082.8212, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7111, predictive_accuracy: 0.7324, prior_entropy: 0.8733, recall: 0.7324, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8745, scimark_benchmark: 1846.1643, usercpu_time_millis: 0.108, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1841.0484, usercpu_time_millis: 0.113, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.6456, kappa: 0.1138, kb_relative_information_score: 732.5929, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6792, predictive_accuracy: 0.7154, prior_entropy: 0.8733, recall: 0.7154, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9005, scimark_benchmark: 1846.6923, usercpu_time_millis: 0.127, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.5891, kappa: 0.0081, kb_relative_information_score: 455.1055, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7446, predictive_accuracy: 0.708, prior_entropy: 0.8733, recall: 0.708, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.9345, scimark_benchmark: 1846.7651, usercpu_time_millis: 0.117, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.6632, kappa: 0.1545, kb_relative_information_score: 789.4516, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6961, predictive_accuracy: 0.7235, prior_entropy: 0.8733, recall: 0.7235, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8941, scimark_benchmark: 1845.1352, usercpu_time_millis: 0.121, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.585, kb_relative_information_score: 381.6565, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9443, scimark_benchmark: 1846.2342, usercpu_time_millis: 0.11, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1846.7651, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1846.3099, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1847.8034, usercpu_time_millis: 0.251, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1842.7455, usercpu_time_millis: 0.105, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: 0.3301, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1843.3238, usercpu_time_millis: 0.118, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7144, kappa: 0.284, kb_relative_information_score: 1073.7611, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7134, predictive_accuracy: 0.7343, prior_entropy: 0.8733, recall: 0.7343, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8752, scimark_benchmark: 1847.2753, usercpu_time_millis: 0.128, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.585, kb_relative_information_score: 183.3407, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9713, scimark_benchmark: 1846.8201, usercpu_time_millis: 0.125, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.075,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs