Task
Supervised Classification on analcatdata_germangss

Supervised Classification on analcatdata_germangss

Task 3887 Supervised Classification analcatdata_germangss 555 runs submitted
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  • study_1 study_107 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 199.6982, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 244.6874, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.6846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8549, kappa: 0.5715, kb_relative_information_score: 170.3041, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8536, predictive_accuracy: 0.86, prior_entropy: 0.7716, recall: 0.86, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.7637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8738, kappa: 0.6157, kb_relative_information_score: 195.2818, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8873, predictive_accuracy: 0.885, prior_entropy: 0.7716, recall: 0.885, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.6851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8484, kappa: 0.5678, kb_relative_information_score: 160.8331, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8494, predictive_accuracy: 0.8475, prior_entropy: 0.7716, recall: 0.8475, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.8305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8773, kappa: 0.6358, kb_relative_information_score: 220.2025, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8779, predictive_accuracy: 0.8825, prior_entropy: 0.7716, recall: 0.8825, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.6677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9193, kappa: 0.7669, kb_relative_information_score: 292.2698, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9189, predictive_accuracy: 0.92, prior_entropy: 0.7716, recall: 0.92, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8866, kappa: 0.6662, kb_relative_information_score: 243.9189, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8862, predictive_accuracy: 0.89, prior_entropy: 0.7716, recall: 0.89, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.29, root_relative_squared_error: 0.6945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.6768, kb_relative_information_score: 47.9023, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.6006, predictive_accuracy: 0.775, prior_entropy: 0.7716, recall: 0.775, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.8805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.832, kappa: 0.4783, kb_relative_information_score: 133.7129, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8747, predictive_accuracy: 0.8575, prior_entropy: 0.7716, recall: 0.8575, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.312, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7938, kappa: 0.4207, kb_relative_information_score: 62.0048, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.7987, predictive_accuracy: 0.79, prior_entropy: 0.7716, recall: 0.79, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.363, root_relative_squared_error: 0.8692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8635, kappa: 0.5797, kb_relative_information_score: 162.8979, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8926, predictive_accuracy: 0.88, prior_entropy: 0.7716, recall: 0.88, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.7132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8825, kappa: 0.6567, kb_relative_information_score: 170.118, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8816, predictive_accuracy: 0.885, prior_entropy: 0.7716, recall: 0.885, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.7175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8969, kappa: 0.6965, kb_relative_information_score: 262.9256, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8969, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.278, root_relative_squared_error: 0.6657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8988, kappa: 0.7063, kb_relative_information_score: 233.1605, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8981, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.6659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8316, kappa: 0.4809, kb_relative_information_score: 119.2131, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8535, predictive_accuracy: 0.8525, prior_entropy: 0.7716, recall: 0.8525, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6768, kb_relative_information_score: -0.274, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.6006, predictive_accuracy: 0.775, prior_entropy: 0.7716, recall: 0.775, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7938, kappa: 0.4207, kb_relative_information_score: 65.224, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.7987, predictive_accuracy: 0.79, prior_entropy: 0.7716, recall: 0.79, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.363, root_relative_squared_error: 0.8693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8722, kappa: 0.633, kb_relative_information_score: 194.5525, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.872, predictive_accuracy: 0.8725, prior_entropy: 0.7716, recall: 0.8725, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.7177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8669, kappa: 0.5904, kb_relative_information_score: 164.6731, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8946, predictive_accuracy: 0.8825, prior_entropy: 0.7716, recall: 0.8825, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.6936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 199.6982, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 199.6982, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.8417, kappa: 0.5373, kb_relative_information_score: 196.7803, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8397, predictive_accuracy: 0.845, prior_entropy: 0.7716, recall: 0.845, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8937, kappa: 0.6916, kb_relative_information_score: 257.3965, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8929, predictive_accuracy: 0.895, prior_entropy: 0.7716, recall: 0.895, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.6836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.9011, kappa: 0.7125, kb_relative_information_score: 271.7018, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9004, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.7938, kappa: 0.4207, kb_relative_information_score: 125.1163, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.7987, predictive_accuracy: 0.79, prior_entropy: 0.7716, recall: 0.79, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9108, kappa: 0.7399, kb_relative_information_score: 236.3419, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9104, predictive_accuracy: 0.9125, prior_entropy: 0.7716, recall: 0.9125, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.6057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 199.6982, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8738, kappa: 0.6157, kb_relative_information_score: 194.7687, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8873, predictive_accuracy: 0.885, prior_entropy: 0.7716, recall: 0.885, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8624, kappa: 0.5928, kb_relative_information_score: 183.2203, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8616, predictive_accuracy: 0.8675, prior_entropy: 0.7716, recall: 0.8675, relative_absolute_error: 0.5179, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.7133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9044, kappa: 0.7181, kb_relative_information_score: 220.8693, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.905, predictive_accuracy: 0.9075, prior_entropy: 0.7716, recall: 0.9075, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.6248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.9203, kappa: 0.7724, kb_relative_information_score: 294.504, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9207, predictive_accuracy: 0.92, prior_entropy: 0.7716, recall: 0.92, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.6773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 199.6982, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6619, scimark_benchmark: 1324.0274, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.9011, kappa: 0.7125, kb_relative_information_score: 271.7018, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9004, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7478, scimark_benchmark: 1334.083, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9338, kappa: 0.8145, kb_relative_information_score: 297.3139, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9369, predictive_accuracy: 0.9325, prior_entropy: 0.7716, recall: 0.9325, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.5567, scimark_benchmark: 1301.9824, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9015, kappa: 0.7148, kb_relative_information_score: 259.8849, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9009, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.6149, scimark_benchmark: 1179.4802, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8669, kappa: 0.5904, kb_relative_information_score: 164.6731, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8946, predictive_accuracy: 0.8825, prior_entropy: 0.7716, recall: 0.8825, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.6936, scimark_benchmark: 1282.5427, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.903, kappa: 0.7164, kb_relative_information_score: 248.3475, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9025, predictive_accuracy: 0.905, prior_entropy: 0.7716, recall: 0.905, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.6209, scimark_benchmark: 1293.3977, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8578, kappa: 0.593, kb_relative_information_score: 173.5677, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8581, predictive_accuracy: 0.8575, prior_entropy: 0.7716, recall: 0.8575, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.34, root_relative_squared_error: 0.8142, scimark_benchmark: 1022.1944, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.9073, kappa: 0.7337, kb_relative_information_score: 278.2167, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9071, predictive_accuracy: 0.9075, prior_entropy: 0.7716, recall: 0.9075, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.7283, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8785, kappa: 0.6476, kb_relative_information_score: 214.6692, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8775, predictive_accuracy: 0.88, prior_entropy: 0.7716, recall: 0.88, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.7383, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9217, kappa: 0.7733, kb_relative_information_score: 239.3493, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9213, predictive_accuracy: 0.9225, prior_entropy: 0.7716, recall: 0.9225, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.596, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 199.6982, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6619, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 199.6982, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6619, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.9011, kappa: 0.7125, kb_relative_information_score: 271.7018, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9004, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.7478, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.9073, kappa: 0.7337, kb_relative_information_score: 278.2167, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9071, predictive_accuracy: 0.9075, prior_entropy: 0.7716, recall: 0.9075, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.7283, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9338, kappa: 0.8145, kb_relative_information_score: 297.3134, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9369, predictive_accuracy: 0.9325, prior_entropy: 0.7716, recall: 0.9325, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.5567, scimark_benchmark: 1925.3565, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9015, kappa: 0.7148, kb_relative_information_score: 259.8849, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9009, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.6149, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8669, kappa: 0.5904, kb_relative_information_score: 164.6731, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8946, predictive_accuracy: 0.8825, prior_entropy: 0.7716, recall: 0.8825, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.6936, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.903, kappa: 0.7164, kb_relative_information_score: 248.3475, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9025, predictive_accuracy: 0.905, prior_entropy: 0.7716, recall: 0.905, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.6209, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.8506, kappa: 0.5733, kb_relative_information_score: 164.5076, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8512, predictive_accuracy: 0.85, prior_entropy: 0.7716, recall: 0.85, relative_absolute_error: 0.5695, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.347, root_relative_squared_error: 0.8309, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8785, kappa: 0.6476, kb_relative_information_score: 214.6692, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8775, predictive_accuracy: 0.88, prior_entropy: 0.7716, recall: 0.88, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.7383, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9241, kappa: 0.7797, kb_relative_information_score: 238.8783, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9237, predictive_accuracy: 0.925, prior_entropy: 0.7716, recall: 0.925, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.596, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8912, kappa: 0.674, kb_relative_information_score: 199.6982, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.896, predictive_accuracy: 0.8975, prior_entropy: 0.7716, recall: 0.8975, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6619, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8931, kappa: 0.6954, kb_relative_information_score: 234.8713, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8939, predictive_accuracy: 0.8925, prior_entropy: 0.7716, recall: 0.8925, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6885, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9015, kappa: 0.7148, kb_relative_information_score: 259.8849, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9009, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.6149, scimark_benchmark: 1370.9452, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8484, kappa: 0.5678, kb_relative_information_score: 160.8331, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.8494, predictive_accuracy: 0.8475, prior_entropy: 0.7716, recall: 0.8475, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.8305, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9338, kappa: 0.8145, kb_relative_information_score: 297.3775, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9369, predictive_accuracy: 0.9325, prior_entropy: 0.7716, recall: 0.9325, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.5568, scimark_benchmark: 1834.908, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.903, kappa: 0.7164, kb_relative_information_score: 248.3475, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9025, predictive_accuracy: 0.905, prior_entropy: 0.7716, recall: 0.905, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.6209, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.903, kappa: 0.7164, kb_relative_information_score: 248.3475, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9025, predictive_accuracy: 0.905, prior_entropy: 0.7716, recall: 0.905, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.6209, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.8974, kappa: 0.699, kb_relative_information_score: 248.8675, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.897, predictive_accuracy: 0.9, prior_entropy: 0.7716, recall: 0.9, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.6181, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.8722, kappa: 0.633, kb_relative_information_score: 187.4599, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.872, predictive_accuracy: 0.8725, prior_entropy: 0.7716, recall: 0.8725, relative_absolute_error: 0.5259, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.7875, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.9266, kappa: 0.7947, kb_relative_information_score: 285.1087, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9303, predictive_accuracy: 0.925, prior_entropy: 0.7716, recall: 0.925, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.246, root_relative_squared_error: 0.589, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9015, kappa: 0.7148, kb_relative_information_score: 260.7725, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.3495, number_of_instances: 400, precision: 0.9009, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.6113, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,

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