OpenML
Supervised Classification on fri_c4_250_25

Supervised Classification on fri_c4_250_25

Task 3796 Supervised Classification fri_c4_250_25 590 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: 0.6422, f_measure: 0.6252, kappa: 0.2432, kb_relative_information_score: 43.5779, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6259, predictive_accuracy: 0.628, prior_entropy: 0.9945, recall: 0.628, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.0396, scimark_benchmark: 854.5188, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.6112, kappa: 0.2152, kb_relative_information_score: 41.9648, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6108, predictive_accuracy: 0.612, prior_entropy: 0.9945, recall: 0.612, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0404, scimark_benchmark: 1324.8395, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.4846, kappa: 0.0505, kb_relative_information_score: 25.517, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5521, predictive_accuracy: 0.556, prior_entropy: 0.9945, recall: 0.556, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3379, scimark_benchmark: 1312.3073, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3833, kb_relative_information_score: 19.4505, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.2959, predictive_accuracy: 0.544, prior_entropy: 0.9945, recall: 0.544, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3558, scimark_benchmark: 1333.5799, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.6045, kappa: 0.2046, kb_relative_information_score: 49.7831, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6056, predictive_accuracy: 0.604, prior_entropy: 0.9945, recall: 0.604, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.2635, scimark_benchmark: 1297.6599, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6427, f_measure: 0.6333, kappa: 0.2595, kb_relative_information_score: 26.4925, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6341, predictive_accuracy: 0.636, prior_entropy: 0.9945, recall: 0.636, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9695, scimark_benchmark: 1335.643, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5822, f_measure: 0.5845, kappa: 0.1639, kb_relative_information_score: 39.6722, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5853, predictive_accuracy: 0.584, prior_entropy: 0.9945, recall: 0.584, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.645, root_relative_squared_error: 1.295, scimark_benchmark: 935.5075, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6124, kappa: 0.2196, kb_relative_information_score: 42.8168, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6129, predictive_accuracy: 0.612, prior_entropy: 0.9945, recall: 0.612, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0096, scimark_benchmark: 1304.6687, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.7832, kappa: 0.5621, kb_relative_information_score: 137.1801, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7839, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7394, scimark_benchmark: 1290.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8119, kappa: 0.6208, kb_relative_information_score: 141.7452, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9945, recall: 0.812, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.383, root_relative_squared_error: 0.769, scimark_benchmark: 1372.2145, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8355, kappa: 0.6678, kb_relative_information_score: 108.078, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8363, predictive_accuracy: 0.836, prior_entropy: 0.9945, recall: 0.836, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7108, scimark_benchmark: 825.5282, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.7074, kappa: 0.4093, kb_relative_information_score: 102.3595, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7073, predictive_accuracy: 0.708, prior_entropy: 0.9945, recall: 0.708, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0849, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7832, kappa: 0.5621, kb_relative_information_score: 116.8335, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7839, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8351, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.8041, kappa: 0.6052, kb_relative_information_score: 131.761, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 0.9945, recall: 0.804, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8187, scimark_benchmark: 1355.7054, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5288, f_measure: 0.4954, kappa: 0.0553, kb_relative_information_score: 3.2732, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5382, predictive_accuracy: 0.512, prior_entropy: 0.9945, recall: 0.512, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6986, root_relative_squared_error: 1.4026, scimark_benchmark: 1318.1432, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2856, kb_relative_information_score: -25.0372, mean_absolute_error: 0.544, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.2079, predictive_accuracy: 0.456, prior_entropy: 0.9945, recall: 0.456, relative_absolute_error: 1.0964, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.7376, root_relative_squared_error: 1.4809, scimark_benchmark: 1442.7264, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.7282, kappa: 0.4525, kb_relative_information_score: 111.3242, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7284, predictive_accuracy: 0.728, prior_entropy: 0.9945, recall: 0.728, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5086, root_relative_squared_error: 1.0212, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8003, kappa: 0.6014, kb_relative_information_score: 148.8694, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8072, predictive_accuracy: 0.8, prior_entropy: 0.9945, recall: 0.8, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8979, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7958, kappa: 0.5879, kb_relative_information_score: 146.8472, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7957, predictive_accuracy: 0.796, prior_entropy: 0.9945, recall: 0.796, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9068, scimark_benchmark: 1353.5686, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.3833, kb_relative_information_score: -0.0751, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.2959, predictive_accuracy: 0.544, prior_entropy: 0.9945, recall: 0.544, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0002, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.8073, kappa: 0.6108, kb_relative_information_score: 150.2224, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8082, predictive_accuracy: 0.808, prior_entropy: 0.9945, recall: 0.808, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8534, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.6327, kappa: 0.2584, kb_relative_information_score: 67.9531, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.634, predictive_accuracy: 0.636, prior_entropy: 0.9945, recall: 0.636, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5674, root_relative_squared_error: 1.1393, scimark_benchmark: 927.0753, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.5872, kappa: 0.167, kb_relative_information_score: 43.0962, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5886, predictive_accuracy: 0.592, prior_entropy: 0.9945, recall: 0.592, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.579, root_relative_squared_error: 1.1626, scimark_benchmark: 945.6434, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.6183, kappa: 0.2291, kb_relative_information_score: 46.6583, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6182, predictive_accuracy: 0.62, prior_entropy: 0.9945, recall: 0.62, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5257, root_relative_squared_error: 1.0555, scimark_benchmark: 876.8277, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.6263, kappa: 0.2454, kb_relative_information_score: 49.6315, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6263, predictive_accuracy: 0.628, prior_entropy: 0.9945, recall: 0.628, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0291, scimark_benchmark: 923.7642, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.6263, kappa: 0.2454, kb_relative_information_score: 49.6315, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6263, predictive_accuracy: 0.628, prior_entropy: 0.9945, recall: 0.628, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0291, scimark_benchmark: 894.7455, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8359, kappa: 0.6692, kb_relative_information_score: 162.8658, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8359, predictive_accuracy: 0.836, prior_entropy: 0.9945, recall: 0.836, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7816, scimark_benchmark: 940.2922, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8439, kappa: 0.6853, kb_relative_information_score: 163.2793, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9945, recall: 0.844, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7505, scimark_benchmark: 938.2848, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.7921, kappa: 0.5813, kb_relative_information_score: 145.5102, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7924, predictive_accuracy: 0.792, prior_entropy: 0.9945, recall: 0.792, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8111, scimark_benchmark: 911.3823, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.7795, kappa: 0.555, kb_relative_information_score: 133.8437, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9945, recall: 0.78, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8634, scimark_benchmark: 922.9039, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7635, kappa: 0.5226, kb_relative_information_score: 123.0719, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7636, predictive_accuracy: 0.764, prior_entropy: 0.9945, recall: 0.764, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9176, scimark_benchmark: 938.4285, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8315, kappa: 0.6599, kb_relative_information_score: 158.9737, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 0.9945, recall: 0.832, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7379, scimark_benchmark: 936.6206, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8116, kappa: 0.6197, kb_relative_information_score: 150.3883, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8118, predictive_accuracy: 0.812, prior_entropy: 0.9945, recall: 0.812, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7249, scimark_benchmark: 924.6116, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8278, kappa: 0.6526, kb_relative_information_score: 147.3191, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8278, predictive_accuracy: 0.828, prior_entropy: 0.9945, recall: 0.828, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7072, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.832, kappa: 0.6614, kb_relative_information_score: 144.3261, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 0.9945, recall: 0.832, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6742, scimark_benchmark: 947.9494, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8556, kappa: 0.7085, kb_relative_information_score: 132.3824, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 0.9945, recall: 0.856, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6905, scimark_benchmark: 931.2336, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.3833, kb_relative_information_score: -0.0751, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.2959, predictive_accuracy: 0.544, prior_entropy: 0.9945, recall: 0.544, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0002, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, f_measure: 0.5675, kappa: 0.2176, kb_relative_information_score: 32.2866, mean_absolute_error: 0.4368, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6592, predictive_accuracy: 0.592, prior_entropy: 0.9945, recall: 0.592, relative_absolute_error: 0.8805, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0089, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8036, kappa: 0.6035, kb_relative_information_score: 126.256, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8038, predictive_accuracy: 0.804, prior_entropy: 0.9945, recall: 0.804, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7812, scimark_benchmark: 933.8635, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, build_cpu_time: 0.0892, build_memory: 1049564476, f_measure: 0.7959, kappa: 0.5885, kb_relative_information_score: 144.5464, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7959, predictive_accuracy: 0.796, prior_entropy: 0.9945, recall: 0.796, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8705, scimark_benchmark: 916.8903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, build_cpu_time: 0.0148, build_memory: 278546197.6, f_measure: 0.7883, kappa: 0.5742, kb_relative_information_score: 130.1685, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7892, predictive_accuracy: 0.788, prior_entropy: 0.9945, recall: 0.788, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8462, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, build_cpu_time: 0.0445, build_memory: 718387620, f_measure: 0.622, kappa: 0.2367, kb_relative_information_score: 49.6623, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6221, predictive_accuracy: 0.624, prior_entropy: 0.9945, recall: 0.624, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0292, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, build_cpu_time: 0.0489, build_memory: 786563423.2, f_measure: 0.6263, kappa: 0.2454, kb_relative_information_score: 49.6315, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6263, predictive_accuracy: 0.628, prior_entropy: 0.9945, recall: 0.628, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0291, scimark_benchmark: 908.8705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, build_cpu_time: 0.0677, build_memory: 1377029652.8, f_measure: 0.6263, kappa: 0.2454, kb_relative_information_score: 49.6315, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6263, predictive_accuracy: 0.628, prior_entropy: 0.9945, recall: 0.628, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0291, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, build_cpu_time: 0.05, build_memory: 3213066244.8, f_measure: 0.6263, kappa: 0.2454, kb_relative_information_score: 49.6315, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6263, predictive_accuracy: 0.628, prior_entropy: 0.9945, recall: 0.628, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0291, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, build_cpu_time: 10.0764, build_memory: 23257788, f_measure: 0.7921, kappa: 0.5813, kb_relative_information_score: 145.2215, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7924, predictive_accuracy: 0.792, prior_entropy: 0.9945, recall: 0.792, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7947, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, build_cpu_time: 19.9908, build_memory: 22220339.2, f_measure: 0.784, kappa: 0.5646, kb_relative_information_score: 140.0127, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8854, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, build_cpu_time: 39.5473, build_memory: 18980328, f_measure: 0.7841, kappa: 0.5652, kb_relative_information_score: 140.9836, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7844, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9037, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, build_cpu_time: 75.8143, build_memory: 735905023.2, f_measure: 0.8042, kappa: 0.6058, kb_relative_information_score: 151.3523, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8046, predictive_accuracy: 0.804, prior_entropy: 0.9945, recall: 0.804, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8715, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, build_cpu_time: 37.5505, build_memory: 971338688.8, f_measure: 0.815, kappa: 0.6265, kb_relative_information_score: 157.6848, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8167, predictive_accuracy: 0.816, prior_entropy: 0.9945, recall: 0.816, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8541, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, build_cpu_time: 18.6345, build_memory: 358122536.8, f_measure: 0.8153, kappa: 0.627, kb_relative_information_score: 158.3239, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8163, predictive_accuracy: 0.816, prior_entropy: 0.9945, recall: 0.816, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.846, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, build_cpu_time: 8.9942, build_memory: 1008326292.8, f_measure: 0.8433, kappa: 0.6835, kb_relative_information_score: 169.7503, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8448, predictive_accuracy: 0.844, prior_entropy: 0.9945, recall: 0.844, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7848, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, build_cpu_time: 4.4762, build_memory: 131330400.8, f_measure: 0.8081, kappa: 0.6136, kb_relative_information_score: 154.4592, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8084, predictive_accuracy: 0.808, prior_entropy: 0.9945, recall: 0.808, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8422, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, build_cpu_time: 2.144, build_memory: 1478927934.4, f_measure: 0.7958, kappa: 0.5879, kb_relative_information_score: 146.893, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7957, predictive_accuracy: 0.796, prior_entropy: 0.9945, recall: 0.796, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8519, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, build_cpu_time: 0.4865, build_memory: 500860156, f_measure: 0.8119, kappa: 0.6208, kb_relative_information_score: 153.0177, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9945, recall: 0.812, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8113, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, build_cpu_time: 0.9476, build_memory: 934685280, f_measure: 0.8233, kappa: 0.6432, kb_relative_information_score: 157.5825, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 0.9945, recall: 0.824, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8319, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, build_cpu_time: 2.1646, build_memory: 212345928, f_measure: 0.8272, kappa: 0.6511, kb_relative_information_score: 162.8202, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8286, predictive_accuracy: 0.828, prior_entropy: 0.9945, recall: 0.828, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.823, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, build_cpu_time: 3.7889, build_memory: 160727943.2, f_measure: 0.8272, kappa: 0.6511, kb_relative_information_score: 163.6855, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8286, predictive_accuracy: 0.828, prior_entropy: 0.9945, recall: 0.828, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8118, scimark_benchmark: 939.521,

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