OpenML
Supervised Classification on fri_c1_250_25

Supervised Classification on fri_c1_250_25

Task 4317 Supervised Classification fri_c1_250_25 206 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.6017, kappa: 0.184, kb_relative_information_score: 509.2643, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.6058, predictive_accuracy: 0.6136, prior_entropy: 0.9852, recall: 0.6136, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2563, scimark_benchmark: 1346.2761, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8658, kappa: 0.7247, kb_relative_information_score: 995.7264, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8691, predictive_accuracy: 0.8672, prior_entropy: 0.9852, recall: 0.8672, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7174, scimark_benchmark: 1347.993, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.851, kappa: 0.6952, kb_relative_information_score: 1536.165, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8509, predictive_accuracy: 0.8512, prior_entropy: 0.9852, recall: 0.8512, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7084, scimark_benchmark: 1344.4042, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8658, kappa: 0.7247, kb_relative_information_score: 995.7264, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8691, predictive_accuracy: 0.8672, prior_entropy: 0.9852, recall: 0.8672, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7174, scimark_benchmark: 1322.7257, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8566, kappa: 0.7069, kb_relative_information_score: 1723.6822, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8566, predictive_accuracy: 0.8568, prior_entropy: 0.9852, recall: 0.8568, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6849, scimark_benchmark: 942.9708, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8451, kappa: 0.6833, kb_relative_information_score: 1278.3032, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9852, recall: 0.8452, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7072, scimark_benchmark: 1371.9645, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.6017, kappa: 0.184, kb_relative_information_score: 509.2643, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.6058, predictive_accuracy: 0.6136, prior_entropy: 0.9852, recall: 0.6136, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2563, scimark_benchmark: 932.5646, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8125, kappa: 0.6158, kb_relative_information_score: 1341.2271, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8131, predictive_accuracy: 0.8136, prior_entropy: 0.9852, recall: 0.8136, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.738, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.5839, kappa: 0.1462, kb_relative_information_score: 249.3297, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.5826, predictive_accuracy: 0.5876, prior_entropy: 0.9852, recall: 0.5876, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.0533, scimark_benchmark: 918.0213, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8451, kappa: 0.6833, kb_relative_information_score: 1278.3032, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9852, recall: 0.8452, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7072, scimark_benchmark: 1327.5791, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8125, kappa: 0.6158, kb_relative_information_score: 1341.2271, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8131, predictive_accuracy: 0.8136, prior_entropy: 0.9852, recall: 0.8136, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.738, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8187, kappa: 0.6285, kb_relative_information_score: 1369.975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8191, predictive_accuracy: 0.8196, prior_entropy: 0.9852, recall: 0.8196, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7317, scimark_benchmark: 1354.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.8697, kappa: 0.7333, kb_relative_information_score: 1771.9688, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8698, predictive_accuracy: 0.87, prior_entropy: 0.9852, recall: 0.87, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7106, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8451, kappa: 0.6833, kb_relative_information_score: 1278.3032, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9852, recall: 0.8452, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7072, scimark_benchmark: 1328.941, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8542, kappa: 0.7014, kb_relative_information_score: 1627.9729, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8546, predictive_accuracy: 0.8548, prior_entropy: 0.9852, recall: 0.8548, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7294, scimark_benchmark: 1328.941, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.6175, kappa: 0.2186, kb_relative_information_score: 529.8661, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.6174, predictive_accuracy: 0.6176, prior_entropy: 0.9852, recall: 0.6176, relative_absolute_error: 0.7809, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6184, root_relative_squared_error: 1.2498, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.851, kappa: 0.6952, kb_relative_information_score: 1536.165, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8509, predictive_accuracy: 0.8512, prior_entropy: 0.9852, recall: 0.8512, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7084, scimark_benchmark: 1339.9935, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.6627, kappa: 0.3173, kb_relative_information_score: 365.6372, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.6671, predictive_accuracy: 0.6612, prior_entropy: 0.9852, recall: 0.6612, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9563, scimark_benchmark: 1345.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8749, kappa: 0.7434, kb_relative_information_score: 1006.66, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8774, predictive_accuracy: 0.876, prior_entropy: 0.9852, recall: 0.876, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7075, scimark_benchmark: 1343.6648, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8876, kappa: 0.7698, kb_relative_information_score: 1431.3377, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9852, recall: 0.888, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6086, scimark_benchmark: 916.6405, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, f_measure: 0.5767, kappa: 0.1319, kb_relative_information_score: 334.149, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.5753, predictive_accuracy: 0.5796, prior_entropy: 0.9852, recall: 0.5796, relative_absolute_error: 0.8585, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6484, root_relative_squared_error: 1.3104, scimark_benchmark: 1320.9026, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.8884, kappa: 0.7716, kb_relative_information_score: 1432.7106, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8888, predictive_accuracy: 0.8888, prior_entropy: 0.9852, recall: 0.8888, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.609, scimark_benchmark: 892.0148, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8623, kappa: 0.7179, kb_relative_information_score: 1739.2801, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8626, predictive_accuracy: 0.8628, prior_entropy: 0.9852, recall: 0.8628, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6823, scimark_benchmark: 1319.6817, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8243, kappa: 0.64, kb_relative_information_score: 1384.4607, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8248, predictive_accuracy: 0.8252, prior_entropy: 0.9852, recall: 0.8252, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7271, scimark_benchmark: 1348.7888, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8451, kappa: 0.6833, kb_relative_information_score: 1278.3032, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9852, recall: 0.8452, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7072, scimark_benchmark: 1371.9645, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8597, kappa: 0.7121, kb_relative_information_score: 966.9815, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8632, predictive_accuracy: 0.8612, prior_entropy: 0.9852, recall: 0.8612, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7248, scimark_benchmark: 932.5646, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8682, kappa: 0.7296, kb_relative_information_score: 992.3475, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8717, predictive_accuracy: 0.8696, prior_entropy: 0.9852, recall: 0.8696, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7155, scimark_benchmark: 1320.9366, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8125, kappa: 0.6158, kb_relative_information_score: 1341.2271, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8131, predictive_accuracy: 0.8136, prior_entropy: 0.9852, recall: 0.8136, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.738, scimark_benchmark: 1354.8751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.5757, kappa: 0.1295, kb_relative_information_score: 226.435, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.5743, predictive_accuracy: 0.5792, prior_entropy: 0.9852, recall: 0.5792, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0208, scimark_benchmark: 925.4974, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.6139, kappa: 0.2204, kb_relative_information_score: 511.6151, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.6197, predictive_accuracy: 0.612, prior_entropy: 0.9852, recall: 0.612, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5934, root_relative_squared_error: 1.1993, scimark_benchmark: 854.5188, usercpu_time_millis: 2180, usercpu_time_millis_testing: 2180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8484, kappa: 0.6889, kb_relative_information_score: 930.3091, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8516, predictive_accuracy: 0.85, prior_entropy: 0.9852, recall: 0.85, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7447, scimark_benchmark: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.7028, kappa: 0.395, kb_relative_information_score: 497.8174, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.7041, predictive_accuracy: 0.702, prior_entropy: 0.9852, recall: 0.702, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9101, scimark_benchmark: 1337.6765, usercpu_time_millis: 590, usercpu_time_millis_testing: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, f_measure: 0.5674, kappa: 0.1206, kb_relative_information_score: 264.1029, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.5696, predictive_accuracy: 0.566, prior_entropy: 0.9852, recall: 0.566, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3314, scimark_benchmark: 1249.4068, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.5117, kappa: 0.0735, kb_relative_information_score: -1.2594, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.5534, predictive_accuracy: 0.5184, prior_entropy: 0.9852, recall: 0.5184, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.528, root_relative_squared_error: 1.067, scimark_benchmark: 1345.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5699, f_measure: 0.5823, kappa: 0.1424, kb_relative_information_score: 377.4128, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.5814, predictive_accuracy: 0.588, prior_entropy: 0.9852, recall: 0.588, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2973, scimark_benchmark: 1346.3935, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.561, kappa: 0.1029, kb_relative_information_score: 145.0795, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.5607, predictive_accuracy: 0.5612, prior_entropy: 0.9852, recall: 0.5612, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5522, root_relative_squared_error: 1.116, scimark_benchmark: 1318.1432, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5253, f_measure: 0.5376, kappa: 0.0513, kb_relative_information_score: 138.4319, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.5357, predictive_accuracy: 0.5416, prior_entropy: 0.9852, recall: 0.5416, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6771, root_relative_squared_error: 1.3684, scimark_benchmark: 1313.9994, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4163, kb_relative_information_score: 295.0056, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3222, scimark_benchmark: 940.3347, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5663, f_measure: 0.5778, kappa: 0.1341, kb_relative_information_score: 340.3295, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.5764, predictive_accuracy: 0.5808, prior_entropy: 0.9852, recall: 0.5808, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6475, root_relative_squared_error: 1.3086, scimark_benchmark: 912.5006, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, f_measure: 0.5599, kappa: 0.0966, kb_relative_information_score: 171.9491, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.5584, predictive_accuracy: 0.5652, prior_entropy: 0.9852, recall: 0.5652, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0082, scimark_benchmark: 906.4475, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, f_measure: 0.5767, kappa: 0.1319, kb_relative_information_score: 334.149, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.5753, predictive_accuracy: 0.5796, prior_entropy: 0.9852, recall: 0.5796, relative_absolute_error: 0.8585, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6484, root_relative_squared_error: 1.3104, scimark_benchmark: 938.343, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.5839, kappa: 0.1462, kb_relative_information_score: 249.3297, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.5826, predictive_accuracy: 0.5876, prior_entropy: 0.9852, recall: 0.5876, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.0533, scimark_benchmark: 883.2709, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8658, kappa: 0.7247, kb_relative_information_score: 995.7264, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8691, predictive_accuracy: 0.8672, prior_entropy: 0.9852, recall: 0.8672, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7174, scimark_benchmark: 1327.8711, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.7069, kappa: 0.4003, kb_relative_information_score: 993.4066, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.7066, predictive_accuracy: 0.7076, prior_entropy: 0.9852, recall: 0.7076, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5407, root_relative_squared_error: 1.0929, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.8463, kappa: 0.6854, kb_relative_information_score: 1485.5825, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8464, predictive_accuracy: 0.8468, prior_entropy: 0.9852, recall: 0.8468, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.73, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.854, kappa: 0.7012, kb_relative_information_score: 1566.4182, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8541, predictive_accuracy: 0.8544, prior_entropy: 0.9852, recall: 0.8544, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7296, scimark_benchmark: 1319.6463, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.6357, kappa: 0.253, kb_relative_information_score: 634.9353, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.6349, predictive_accuracy: 0.638, prior_entropy: 0.9852, recall: 0.638, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.216, scimark_benchmark: 1325.942, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2566, kb_relative_information_score: -446.6593, mean_absolute_error: 0.572, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.1832, predictive_accuracy: 0.428, prior_entropy: 0.9852, recall: 0.428, relative_absolute_error: 1.168, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.7563, root_relative_squared_error: 1.5285, scimark_benchmark: 1164.6805, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8309, kappa: 0.6541, kb_relative_information_score: 1589.4283, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8308, predictive_accuracy: 0.8312, prior_entropy: 0.9852, recall: 0.8312, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8088, scimark_benchmark: 1330.0803, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.7457, kappa: 0.4807, kb_relative_information_score: 1189.1237, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.7457, predictive_accuracy: 0.7456, prior_entropy: 0.9852, recall: 0.7456, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0194, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.8325, kappa: 0.6573, kb_relative_information_score: 1638.2429, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8324, predictive_accuracy: 0.8328, prior_entropy: 0.9852, recall: 0.8328, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8264, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4163, kb_relative_information_score: -0.9303, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0002, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.8655, kappa: 0.7246, kb_relative_information_score: 1756.4269, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8658, predictive_accuracy: 0.866, prior_entropy: 0.9852, recall: 0.866, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7145, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, build_cpu_time: 5.6149, build_memory: 1500613816.48, f_measure: 0.8802, kappa: 0.755, kb_relative_information_score: 1885.4234, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9852, recall: 0.8804, relative_absolute_error: 0.2433, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6948, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, build_cpu_time: 2.7786, build_memory: 1205887873.84, f_measure: 0.885, kappa: 0.7648, kb_relative_information_score: 1909.1962, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.885, predictive_accuracy: 0.8852, prior_entropy: 0.9852, recall: 0.8852, relative_absolute_error: 0.2341, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6793, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, build_cpu_time: 1.1086, build_memory: 2140560281.84, f_measure: 0.8819, kappa: 0.7585, kb_relative_information_score: 1891.0898, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8818, predictive_accuracy: 0.882, prior_entropy: 0.9852, recall: 0.882, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6845, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, build_cpu_time: 1.1026, build_memory: 945240739.52, f_measure: 0.8819, kappa: 0.7585, kb_relative_information_score: 1891.0898, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8818, predictive_accuracy: 0.882, prior_entropy: 0.9852, recall: 0.882, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6845, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, build_cpu_time: 0.6878, build_memory: 102743493.12, f_measure: 0.8806, kappa: 0.7559, kb_relative_information_score: 1882.3266, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8806, predictive_accuracy: 0.8808, prior_entropy: 0.9852, recall: 0.8808, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6825, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, build_cpu_time: 0.5874, build_memory: 1015567647.84, f_measure: 0.8806, kappa: 0.7559, kb_relative_information_score: 1882.3266, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8806, predictive_accuracy: 0.8808, prior_entropy: 0.9852, recall: 0.8808, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6825, scimark_benchmark: 942.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, build_cpu_time: 0.5354, build_memory: 707010724.4, f_measure: 0.8806, kappa: 0.7559, kb_relative_information_score: 1882.3266, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4897, number_of_instances: 2500, precision: 0.8806, predictive_accuracy: 0.8808, prior_entropy: 0.9852, recall: 0.8808, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6825, scimark_benchmark: 943.1654,

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