Task
Supervised Classification on fri_c2_250_5

Supervised Classification on fri_c2_250_5

Task 3774 Supervised Classification fri_c2_250_5 638 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.8672, kappa: 0.7298, kb_relative_information_score: 162.9635, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8688, predictive_accuracy: 0.868, prior_entropy: 0.9898, recall: 0.868, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.8246, kappa: 0.6477, kb_relative_information_score: 96.4524, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8304, predictive_accuracy: 0.824, prior_entropy: 0.9898, recall: 0.824, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8167, kappa: 0.6316, kb_relative_information_score: 95.9532, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8224, predictive_accuracy: 0.816, prior_entropy: 0.9898, recall: 0.816, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.7951, kappa: 0.5832, kb_relative_information_score: 109.4995, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7955, predictive_accuracy: 0.796, prior_entropy: 0.9898, recall: 0.796, relative_absolute_error: 0.5927, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8794, kappa: 0.7546, kb_relative_information_score: 165.6451, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8807, predictive_accuracy: 0.88, prior_entropy: 0.9898, recall: 0.88, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.8398, kappa: 0.6747, kb_relative_information_score: 144.1016, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8398, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8955, kappa: 0.7873, kb_relative_information_score: 194.0355, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8969, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7604, kappa: 0.5149, kb_relative_information_score: 109.3317, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7612, predictive_accuracy: 0.76, prior_entropy: 0.9898, recall: 0.76, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8953, kappa: 0.7869, kb_relative_information_score: 160.1162, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8976, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.6108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.864, kappa: 0.724, kb_relative_information_score: 166.4867, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 0.9898, recall: 0.864, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.8087, kappa: 0.6164, kb_relative_information_score: 87.997, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.816, predictive_accuracy: 0.808, prior_entropy: 0.9898, recall: 0.808, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8318, kappa: 0.6584, kb_relative_information_score: 136.1899, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8318, predictive_accuracy: 0.832, prior_entropy: 0.9898, recall: 0.832, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.8087, kappa: 0.6164, kb_relative_information_score: 87.997, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.816, predictive_accuracy: 0.808, prior_entropy: 0.9898, recall: 0.808, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7648, kappa: 0.5271, kb_relative_information_score: 123.326, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7698, predictive_accuracy: 0.764, prior_entropy: 0.9898, recall: 0.764, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8958, kappa: 0.7881, kb_relative_information_score: 176.8252, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8676, kappa: 0.7308, kb_relative_information_score: 116.2423, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9898, recall: 0.868, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0052, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8751, kappa: 0.7457, kb_relative_information_score: 169.0119, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8777, predictive_accuracy: 0.876, prior_entropy: 0.9898, recall: 0.876, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8751, kappa: 0.7457, kb_relative_information_score: 169.0119, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8777, predictive_accuracy: 0.876, prior_entropy: 0.9898, recall: 0.876, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8481, kappa: 0.6922, kb_relative_information_score: 140.7095, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 0.9898, recall: 0.848, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.8207, kappa: 0.64, kb_relative_information_score: 97.5318, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8272, predictive_accuracy: 0.82, prior_entropy: 0.9898, recall: 0.82, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8715, kappa: 0.7387, kb_relative_information_score: 180.2648, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8955, kappa: 0.7873, kb_relative_information_score: 174.7822, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8969, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8715, kappa: 0.7387, kb_relative_information_score: 180.2648, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.8167, kappa: 0.6316, kb_relative_information_score: 95.9512, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8224, predictive_accuracy: 0.816, prior_entropy: 0.9898, recall: 0.816, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7648, kappa: 0.5271, kb_relative_information_score: 93.2917, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7698, predictive_accuracy: 0.764, prior_entropy: 0.9898, recall: 0.764, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7967, kappa: 0.592, kb_relative_information_score: 145.8413, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8032, predictive_accuracy: 0.796, prior_entropy: 0.9898, recall: 0.796, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.7648, kappa: 0.5271, kb_relative_information_score: 129.5092, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7698, predictive_accuracy: 0.764, prior_entropy: 0.9898, recall: 0.764, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7967, kappa: 0.592, kb_relative_information_score: 145.8413, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8032, predictive_accuracy: 0.796, prior_entropy: 0.9898, recall: 0.796, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8598, kappa: 0.7151, kb_relative_information_score: 159.0831, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9898, recall: 0.86, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.8167, kappa: 0.6316, kb_relative_information_score: 95.9512, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8224, predictive_accuracy: 0.816, prior_entropy: 0.9898, recall: 0.816, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.8167, kappa: 0.6316, kb_relative_information_score: 95.9512, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8224, predictive_accuracy: 0.816, prior_entropy: 0.9898, recall: 0.816, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8522, kappa: 0.7006, kb_relative_information_score: 143.3052, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8526, predictive_accuracy: 0.852, prior_entropy: 0.9898, recall: 0.852, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8998, kappa: 0.7965, kb_relative_information_score: 170.7779, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8999, predictive_accuracy: 0.9, prior_entropy: 0.9898, recall: 0.9, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8878, kappa: 0.7718, kb_relative_information_score: 192.7961, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9898, recall: 0.888, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.7703, kappa: 0.5323, kb_relative_information_score: 133.5922, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7717, predictive_accuracy: 0.772, prior_entropy: 0.9898, recall: 0.772, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9619, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7489, kappa: 0.496, kb_relative_information_score: 121.3432, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7552, predictive_accuracy: 0.748, prior_entropy: 0.9898, recall: 0.748, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0113, scimark_benchmark: 1280.301, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.8444, kappa: 0.6856, kb_relative_information_score: 170.3395, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8461, predictive_accuracy: 0.844, prior_entropy: 0.9898, recall: 0.844, relative_absolute_error: 0.3165, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7957, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.592, kappa: 0.1721, kb_relative_information_score: 41.7242, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.592, predictive_accuracy: 0.592, prior_entropy: 0.9898, recall: 0.592, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2868, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8246, kappa: 0.6477, kb_relative_information_score: 121.0028, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8304, predictive_accuracy: 0.824, prior_entropy: 0.9898, recall: 0.824, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7566, scimark_benchmark: 1787.9841, usercpu_time_millis: 562.5, usercpu_time_millis_training: 562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8246, kappa: 0.6477, kb_relative_information_score: 121.0028, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8304, predictive_accuracy: 0.824, prior_entropy: 0.9898, recall: 0.824, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7566, scimark_benchmark: 1648.5408, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.592, kappa: 0.1721, kb_relative_information_score: 41.7242, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.592, predictive_accuracy: 0.592, prior_entropy: 0.9898, recall: 0.592, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2868, scimark_benchmark: 1330.8188, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.7703, kappa: 0.5323, kb_relative_information_score: 133.5922, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7717, predictive_accuracy: 0.772, prior_entropy: 0.9898, recall: 0.772, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9619, scimark_benchmark: 1639.1996, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.7648, kappa: 0.5271, kb_relative_information_score: 129.5092, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7698, predictive_accuracy: 0.764, prior_entropy: 0.9898, recall: 0.764, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9787, scimark_benchmark: 1173.432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.8672, kappa: 0.7298, kb_relative_information_score: 162.9635, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8688, predictive_accuracy: 0.868, prior_entropy: 0.9898, recall: 0.868, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.702, scimark_benchmark: 949.3655, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8794, kappa: 0.7546, kb_relative_information_score: 165.9912, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8807, predictive_accuracy: 0.88, prior_entropy: 0.9898, recall: 0.88, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6191, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8207, kappa: 0.64, kb_relative_information_score: 163.6167, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8272, predictive_accuracy: 0.82, prior_entropy: 0.9898, recall: 0.82, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7084, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.7844, kappa: 0.5725, kb_relative_information_score: 143.2869, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8018, predictive_accuracy: 0.784, prior_entropy: 0.9898, recall: 0.784, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7894, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8446, kappa: 0.6886, kb_relative_information_score: 131.4528, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8529, predictive_accuracy: 0.844, prior_entropy: 0.9898, recall: 0.844, relative_absolute_error: 0.502, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6817, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8751, kappa: 0.7457, kb_relative_information_score: 169.0119, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8777, predictive_accuracy: 0.876, prior_entropy: 0.9898, recall: 0.876, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6464, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8481, kappa: 0.6922, kb_relative_information_score: 140.7095, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 0.9898, recall: 0.848, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6861, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.8603, kappa: 0.7173, kb_relative_information_score: 178.5055, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8613, predictive_accuracy: 0.86, prior_entropy: 0.9898, recall: 0.86, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7927, kappa: 0.5852, kb_relative_information_score: 143.7998, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8017, predictive_accuracy: 0.792, prior_entropy: 0.9898, recall: 0.792, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9188, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.7566, kappa: 0.5157, kb_relative_information_score: 125.4262, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7701, predictive_accuracy: 0.756, prior_entropy: 0.9898, recall: 0.756, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9951, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.8465, kappa: 0.6873, kb_relative_information_score: 140.1757, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8505, predictive_accuracy: 0.848, prior_entropy: 0.9898, recall: 0.848, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7176, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8387, kappa: 0.6715, kb_relative_information_score: 143.9174, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8414, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7439, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, f_measure: 0.8127, kappa: 0.6247, kb_relative_information_score: 88.025, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8208, predictive_accuracy: 0.812, prior_entropy: 0.9898, recall: 0.812, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8878, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8167, kappa: 0.6316, kb_relative_information_score: 95.9532, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8224, predictive_accuracy: 0.816, prior_entropy: 0.9898, recall: 0.816, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8762, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.8087, kappa: 0.6164, kb_relative_information_score: 87.997, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.816, predictive_accuracy: 0.808, prior_entropy: 0.9898, recall: 0.808, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8879, scimark_benchmark: 1732.2066,

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