OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 145976 Supervised Classification diabetes 67074 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.5446, kappa: 0.0444, kb_relative_information_score: 74.6863, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6754, predictive_accuracy: 0.6602, prior_entropy: 0.9335, recall: 0.6602, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9294, scimark_benchmark: 1780.5089, usercpu_time_millis: 0.765, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 0.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7654, kappa: 0.4757, kb_relative_information_score: 252.3915, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8273, scimark_benchmark: 1746.6883, usercpu_time_millis: 0.514, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.756, kappa: 0.4618, kb_relative_information_score: 262.7689, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7555, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8624, scimark_benchmark: 1746.6883, usercpu_time_millis: 19.218, usercpu_time_millis_testing: 0.995, usercpu_time_millis_training: 18.223,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7722, kappa: 0.4942, kb_relative_information_score: 255.7525, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7712, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8365, scimark_benchmark: 1748.8645, usercpu_time_millis: 12.658, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 11.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7654, kappa: 0.4757, kb_relative_information_score: 243.5776, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8285, scimark_benchmark: 1700.8809, usercpu_time_millis: 8.629, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 7.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7621, kappa: 0.4704, kb_relative_information_score: 246.5174, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7611, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8367, scimark_benchmark: 1745.8253, usercpu_time_millis: 10.76, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 9.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.751, kappa: 0.4402, kb_relative_information_score: 187.8957, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7561, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8476, scimark_benchmark: 1743.4191, usercpu_time_millis: 2.561, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 2.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7712, kappa: 0.4906, kb_relative_information_score: 255.2794, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7704, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6781, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8256, scimark_benchmark: 1732.2763, usercpu_time_millis: 5.171, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 4.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7553, kappa: 0.4489, kb_relative_information_score: 175.8295, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7652, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8538, scimark_benchmark: 1742.5561, usercpu_time_millis: 3.674, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 3.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5134, kb_relative_information_score: 0.0838, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1742.2189, usercpu_time_millis: 0.413, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 0.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7197, kappa: 0.3697, kb_relative_information_score: 117.8558, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7503, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8972, scimark_benchmark: 1739.7128, usercpu_time_millis: 0.467, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7663, kappa: 0.4785, kb_relative_information_score: 248.3639, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7658, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.8251, scimark_benchmark: 1746.2876, usercpu_time_millis: 3.751, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 3.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.776, kappa: 0.5006, kb_relative_information_score: 239.5515, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7755, predictive_accuracy: 0.7799, prior_entropy: 0.9335, recall: 0.7799, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8301, scimark_benchmark: 1719.2692, usercpu_time_millis: 5.807, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 5.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7351, kappa: 0.4046, kb_relative_information_score: 179.4803, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7385, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8598, scimark_benchmark: 1737.5952, usercpu_time_millis: 1.737, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 1.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7513, kappa: 0.4401, kb_relative_information_score: 166.7897, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8594, scimark_benchmark: 1740.8392, usercpu_time_millis: 0.582, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7635, kappa: 0.4738, kb_relative_information_score: 263.9386, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7625, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8372, scimark_benchmark: 1743.483, usercpu_time_millis: 10.958, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 10.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1922, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1739.9351, usercpu_time_millis: 0.631, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7505, kappa: 0.4408, kb_relative_information_score: 219.5995, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7514, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8336, scimark_benchmark: 1746.6883, usercpu_time_millis: 2.254, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 2.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7671, kappa: 0.4813, kb_relative_information_score: 253.7721, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7663, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8271, scimark_benchmark: 1747.0307, usercpu_time_millis: 2.131, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 2.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 255.3039, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8323, scimark_benchmark: 1746.6883, usercpu_time_millis: 1.26, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7294, kappa: 0.393, kb_relative_information_score: 169.5326, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.73, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8689, scimark_benchmark: 1743.8837, usercpu_time_millis: 0.971, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.767, kappa: 0.4825, kb_relative_information_score: 257.6004, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7658, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8359, scimark_benchmark: 1740.7346, usercpu_time_millis: 9.449, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 8.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7627, kappa: 0.4697, kb_relative_information_score: 242.4894, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7628, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8298, scimark_benchmark: 1757.5572, usercpu_time_millis: 5.496, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 5.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 251.732, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7604, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8275, scimark_benchmark: 1758.49, usercpu_time_millis: 4.291, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 3.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7481, kappa: 0.4359, kb_relative_information_score: 200.6063, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7486, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8515, scimark_benchmark: 1716.4921, usercpu_time_millis: 0.294, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7568, kappa: 0.4558, kb_relative_information_score: 212.604, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7571, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8438, scimark_benchmark: 1731.3119, usercpu_time_millis: 11.067, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 9.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7614, kappa: 0.4698, kb_relative_information_score: 254.1511, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7603, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6784, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1762.9196, usercpu_time_millis: 10.105, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 9.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7607, kappa: 0.4657, kb_relative_information_score: 247.6037, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7602, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8291, scimark_benchmark: 1760.4936, usercpu_time_millis: 3.517, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 3.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7613, kappa: 0.4676, kb_relative_information_score: 250.9776, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8317, scimark_benchmark: 1723.2272, usercpu_time_millis: 5.053, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 4.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7645, kappa: 0.4754, kb_relative_information_score: 249.5848, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8317, scimark_benchmark: 1744.0037, usercpu_time_millis: 7.479, usercpu_time_millis_testing: 0.597, usercpu_time_millis_training: 6.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7655, kappa: 0.4791, kb_relative_information_score: 259.0601, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8327, scimark_benchmark: 1750.4323, usercpu_time_millis: 3.461, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 3.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7612, kappa: 0.4627, kb_relative_information_score: 192.4571, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7683, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7687, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.845, scimark_benchmark: 1804.775, usercpu_time_millis: 4.169, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 3.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7517, kappa: 0.4428, kb_relative_information_score: 212.1587, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8355, scimark_benchmark: 1711.2373, usercpu_time_millis: 1.962, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 1.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7495, kappa: 0.4366, kb_relative_information_score: 188.3042, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7548, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8466, scimark_benchmark: 1708.5514, usercpu_time_millis: 2.018, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7683, kappa: 0.4801, kb_relative_information_score: 219.3729, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7712, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.833, scimark_benchmark: 1757.9037, usercpu_time_millis: 2.748, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 2.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7642, kappa: 0.4732, kb_relative_information_score: 244.6026, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.828, scimark_benchmark: 1805.323, usercpu_time_millis: 1.367, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 1.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7583, kappa: 0.4575, kb_relative_information_score: 200.8207, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8426, scimark_benchmark: 1750.9537, usercpu_time_millis: 4.018, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 3.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7578, kappa: 0.4569, kb_relative_information_score: 207.1358, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.841, scimark_benchmark: 1826.9097, usercpu_time_millis: 6.695, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 5.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0856, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1799.2498, usercpu_time_millis: 1.362, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7281, kappa: 0.3888, kb_relative_information_score: 159.4926, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7313, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.873, scimark_benchmark: 1807.1503, usercpu_time_millis: 0.637, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7545, kappa: 0.4479, kb_relative_information_score: 191.7136, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7608, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8466, scimark_benchmark: 1735.7441, usercpu_time_millis: 5.196, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 4.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.7342, kappa: 0.4011, kb_relative_information_score: 152.1, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.745, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.871, scimark_benchmark: 1737.2733, usercpu_time_millis: 0.154, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7493, kappa: 0.4469, kb_relative_information_score: 260.2341, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7488, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.866, scimark_benchmark: 1741.5392, usercpu_time_millis: 14.756, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 13.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7592, kappa: 0.4581, kb_relative_information_score: 182.3202, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7672, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.85, scimark_benchmark: 1757.1045, usercpu_time_millis: 4.986, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 4.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0919, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1748.0598, usercpu_time_millis: 0.639, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.0201, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1756.2894, usercpu_time_millis: 1.077, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.5783, kappa: 0.1023, kb_relative_information_score: 84.7008, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7178, predictive_accuracy: 0.6758, prior_entropy: 0.9335, recall: 0.6758, relative_absolute_error: 0.9064, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9204, scimark_benchmark: 1728.4611, usercpu_time_millis: 0.817, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7567, kappa: 0.46, kb_relative_information_score: 260.2341, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7554, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8375, scimark_benchmark: 1751.3544, usercpu_time_millis: 0.469, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7012, kappa: 0.3295, kb_relative_information_score: 128.5711, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7373, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8849, scimark_benchmark: 1733.3685, usercpu_time_millis: 1.573, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 1.347,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7695, kappa: 0.4839, kb_relative_information_score: 234.5969, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.7117, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.828, scimark_benchmark: 1768.5647, usercpu_time_millis: 4.838, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 4.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7613, kappa: 0.4676, kb_relative_information_score: 249.6786, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8262, scimark_benchmark: 1765.4842, usercpu_time_millis: 5.16, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 4.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7647, kappa: 0.4725, kb_relative_information_score: 219.6486, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1772.3548, usercpu_time_millis: 4.967, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 4.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7679, kappa: 0.484, kb_relative_information_score: 254.3838, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8332, scimark_benchmark: 2136.7478, usercpu_time_millis: 9.753, usercpu_time_millis_testing: 0.569, usercpu_time_millis_training: 9.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7604, kappa: 0.4661, kb_relative_information_score: 251.4078, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7594, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 1793.9149, usercpu_time_millis: 7.859, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 7.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7505, kappa: 0.4408, kb_relative_information_score: 225.3154, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7514, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8328, scimark_benchmark: 1773.8424, usercpu_time_millis: 3.881, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 3.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7691, kappa: 0.4865, kb_relative_information_score: 263.7119, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7681, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8379, scimark_benchmark: 1764.0275, usercpu_time_millis: 6.426, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 6.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7703, kappa: 0.489, kb_relative_information_score: 253.968, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7693, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8313, scimark_benchmark: 1818.0975, usercpu_time_millis: 9.447, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 8.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7482, kappa: 0.4327, kb_relative_information_score: 156.621, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8662, scimark_benchmark: 1831.64, usercpu_time_millis: 0.478, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 0.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7552, kappa: 0.4566, kb_relative_information_score: 264.0829, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.754, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8356, scimark_benchmark: 1746.226, usercpu_time_millis: 4.647, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 4.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0879, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1758.611, usercpu_time_millis: 0.614, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5134, kb_relative_information_score: 0.1535, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1766.8831, usercpu_time_millis: 1.596, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 257.2597, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.827, scimark_benchmark: 1825.8825, usercpu_time_millis: 6.934, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 6.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7469, kappa: 0.4421, kb_relative_information_score: 262.027, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7465, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.6535, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8734, scimark_benchmark: 1760.3984, usercpu_time_millis: 18.005, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 17.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7621, kappa: 0.4704, kb_relative_information_score: 251.7808, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7611, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6842, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.826, scimark_benchmark: 1779.4409, usercpu_time_millis: 5.091, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 4.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5134, kb_relative_information_score: 0.1186, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1790.991, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 1.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7659, kappa: 0.475, kb_relative_information_score: 218.5962, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7683, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329, scimark_benchmark: 1820.7429, usercpu_time_millis: 3.081, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 2.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1453, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1821.7431, usercpu_time_millis: 1.252, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 0.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7281, kappa: 0.3888, kb_relative_information_score: 150.4486, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7313, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8764, scimark_benchmark: 1823.8497, usercpu_time_millis: 1.639, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, f_measure: 0.5134, kb_relative_information_score: 0.2438, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1813.7522, usercpu_time_millis: 0.71, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7641, kappa: 0.4779, kb_relative_information_score: 245.8109, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7631, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8417, scimark_benchmark: 1752.5929, usercpu_time_millis: 0.694, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7489, kappa: 0.4373, kb_relative_information_score: 219.581, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7499, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8358, scimark_benchmark: 1836.977, usercpu_time_millis: 2.761, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 2.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7574, kappa: 0.4578, kb_relative_information_score: 213.0586, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7573, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8444, scimark_benchmark: 1821.9532, usercpu_time_millis: 7.391, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 6.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.6767, kappa: 0.2798, kb_relative_information_score: 115.6852, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7306, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.8707, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8947, scimark_benchmark: 1830.9386, usercpu_time_millis: 1.771, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7567, kappa: 0.4544, kb_relative_information_score: 207.2152, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8438, scimark_benchmark: 1841.4927, usercpu_time_millis: 1.419, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 1.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7615, kappa: 0.472, kb_relative_information_score: 251.5998, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8467, scimark_benchmark: 1828.9586, usercpu_time_millis: 0.194, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7546, kappa: 0.4504, kb_relative_information_score: 227.4186, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7187, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8357, scimark_benchmark: 1728.0118, usercpu_time_millis: 4.699, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 4.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7616, kappa: 0.4672, kb_relative_information_score: 246.6551, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7615, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8283, scimark_benchmark: 1763.3406, usercpu_time_millis: 6.999, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 6.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7551, kappa: 0.4509, kb_relative_information_score: 219.5705, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8321, scimark_benchmark: 1821.8764, usercpu_time_millis: 3.16, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 2.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.148, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1736.2365, usercpu_time_millis: 1.31, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 0.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7271, kappa: 0.3851, kb_relative_information_score: 144.9324, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7397, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8809, scimark_benchmark: 1710.5255, usercpu_time_millis: 1.523, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 1.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.6373, kappa: 0.2055, kb_relative_information_score: 97.0013, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7274, predictive_accuracy: 0.7018, prior_entropy: 0.9335, recall: 0.7018, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.9094, scimark_benchmark: 1722.5383, usercpu_time_millis: 0.119, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: 0.178, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1750.7295, usercpu_time_millis: 1.546, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 1.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7518, kappa: 0.4412, kb_relative_information_score: 174.2697, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7602, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8533, scimark_benchmark: 1744.8534, usercpu_time_millis: 1.629, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7444, kappa: 0.4267, kb_relative_information_score: 191.0464, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7457, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8532, scimark_benchmark: 1828.7359, usercpu_time_millis: 2.697, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 2.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7586, kappa: 0.4617, kb_relative_information_score: 247.4331, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7578, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.826, scimark_benchmark: 1890.7877, usercpu_time_millis: 6.246, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 5.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7629, kappa: 0.4732, kb_relative_information_score: 263.8924, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.836, scimark_benchmark: 1740.384, usercpu_time_millis: 1.515, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7624, kappa: 0.4688, kb_relative_information_score: 234.2712, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 1692.2611, usercpu_time_millis: 3.817, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 3.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7662, kappa: 0.4797, kb_relative_information_score: 254.1226, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7652, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6796, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8303, scimark_benchmark: 1778.2026, usercpu_time_millis: 6.219, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 5.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7541, kappa: 0.4499, kb_relative_information_score: 208.2109, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7543, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8422, scimark_benchmark: 1782.9535, usercpu_time_millis: 8.832, usercpu_time_millis_testing: 1.112, usercpu_time_millis_training: 7.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7688, kappa: 0.4856, kb_relative_information_score: 243.9929, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7679, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.398, root_relative_squared_error: 0.835, scimark_benchmark: 1792.2715, usercpu_time_millis: 12.422, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 11.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7334, kappa: 0.3994, kb_relative_information_score: 146.7739, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.751, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8727, scimark_benchmark: 1744.1712, usercpu_time_millis: 2.6, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 2.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7568, kappa: 0.4573, kb_relative_information_score: 242.7545, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7562, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.828, scimark_benchmark: 1764.2541, usercpu_time_millis: 0.478, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.763, kappa: 0.4693, kb_relative_information_score: 231.3014, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.833, scimark_benchmark: 1758.364, usercpu_time_millis: 1.148, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 1.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: 0.3116, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1755.3894, usercpu_time_millis: 0.123, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7617, kappa: 0.4655, kb_relative_information_score: 225.8463, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7641, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8323, scimark_benchmark: 1756.5048, usercpu_time_millis: 1.315, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7659, kappa: 0.4788, kb_relative_information_score: 252.0936, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.765, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8297, scimark_benchmark: 1817.9868, usercpu_time_millis: 9.876, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 9.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.676, kappa: 0.2795, kb_relative_information_score: 108.2685, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7367, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9029, scimark_benchmark: 1850.0944, usercpu_time_millis: 0.259, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7664, kappa: 0.4806, kb_relative_information_score: 254.582, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.832, scimark_benchmark: 1815.5122, usercpu_time_millis: 1.286, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 1.189,

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