OpenML
Supervised Classification on fri_c4_100_50

Supervised Classification on fri_c4_100_50

Task 3795 Supervised Classification fri_c4_100_50 587 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: 0.761, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 39.7726, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8976, scimark_benchmark: 1345.7919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1334.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1347.6184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7357, kappa: 0.4619, kb_relative_information_score: 25.731, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7413, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8469, scimark_benchmark: 1336.4701, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1344.3409, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6991, kappa: 0.3883, kb_relative_information_score: 31.8921, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6989, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0396, scimark_benchmark: 1292.514, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7023, kappa: 0.3953, kb_relative_information_score: 15.0283, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7128, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9104, scimark_benchmark: 1334.9442, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.7228, kappa: 0.437, kb_relative_information_score: 36.9843, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7345, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.446, root_relative_squared_error: 0.8985, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6991, kappa: 0.3883, kb_relative_information_score: 31.8921, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6989, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0396, scimark_benchmark: 1327.6367, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7023, kappa: 0.3953, kb_relative_information_score: 15.0283, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7128, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9104, scimark_benchmark: 1404.0159, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.5339, kappa: 0.0662, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5454, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 1335.7955, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.5494, kappa: 0.0846, kb_relative_information_score: -0.1882, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5489, predictive_accuracy: 0.55, prior_entropy: 0.99, recall: 0.55, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.561, root_relative_squared_error: 1.1302, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1325.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 39.7726, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8976, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7023, kappa: 0.3953, kb_relative_information_score: 15.0283, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7128, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9104, scimark_benchmark: 1326.8946, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.5494, kappa: 0.0846, kb_relative_information_score: -0.1882, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5489, predictive_accuracy: 0.55, prior_entropy: 0.99, recall: 0.55, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.561, root_relative_squared_error: 1.1302, scimark_benchmark: 1264.9916, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7023, kappa: 0.3953, kb_relative_information_score: 15.0283, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7128, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9104, scimark_benchmark: 1311.9814, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.7228, kappa: 0.437, kb_relative_information_score: 36.9843, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7345, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.446, root_relative_squared_error: 0.8985, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7169, kappa: 0.4234, kb_relative_information_score: 36.6542, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7191, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9049, scimark_benchmark: 915.9324, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.7228, kappa: 0.437, kb_relative_information_score: 36.9843, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7345, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.446, root_relative_squared_error: 0.8985, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7169, kappa: 0.4234, kb_relative_information_score: 36.6542, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7191, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9049, scimark_benchmark: 1345.3152, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.7228, kappa: 0.437, kb_relative_information_score: 36.9843, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7345, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.446, root_relative_squared_error: 0.8985, scimark_benchmark: 1301.7387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7169, kappa: 0.4234, kb_relative_information_score: 36.6542, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7191, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9049, scimark_benchmark: 1345.842, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7169, kappa: 0.4234, kb_relative_information_score: 36.6542, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7191, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9049, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7706, kappa: 0.5367, kb_relative_information_score: 49.0983, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7726, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8918, scimark_benchmark: 1311.9814, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.7228, kappa: 0.437, kb_relative_information_score: 36.9843, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7345, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.446, root_relative_squared_error: 0.8985, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7169, kappa: 0.4234, kb_relative_information_score: 36.6542, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7191, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9049, scimark_benchmark: 918.6005, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.7922, kappa: 0.5798, kb_relative_information_score: 23.286, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.8, prior_entropy: 0.99, recall: 0.8, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8499, scimark_benchmark: 860.584, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7903, kappa: 0.5777, kb_relative_information_score: 22.6004, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8286, predictive_accuracy: 0.8, prior_entropy: 0.99, recall: 0.8, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8562, scimark_benchmark: 934.1747, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7506, kappa: 0.4958, kb_relative_information_score: 25.9212, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7747, predictive_accuracy: 0.76, prior_entropy: 0.99, recall: 0.76, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8394, scimark_benchmark: 938.9967, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7844, kappa: 0.5621, kb_relative_information_score: 28.9341, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7996, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8219, scimark_benchmark: 1299.5783, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.6839, kappa: 0.3568, kb_relative_information_score: 39.3834, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6894, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0016, scimark_benchmark: 1325.2092, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7371, kappa: 0.4646, kb_relative_information_score: 38.9232, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7397, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9429, scimark_benchmark: 1384.4418, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7383, kappa: 0.4672, kb_relative_information_score: 39.5677, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.739, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8285, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.7693, kappa: 0.5355, kb_relative_information_score: 24.3949, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8051, predictive_accuracy: 0.78, prior_entropy: 0.99, recall: 0.78, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8397, scimark_benchmark: 1307.4861, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.7576, kappa: 0.5131, kb_relative_information_score: 20.2212, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7977, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8713, scimark_benchmark: 912.7324, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7693, kappa: 0.5355, kb_relative_information_score: 23.0645, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8051, predictive_accuracy: 0.78, prior_entropy: 0.99, recall: 0.78, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8536, scimark_benchmark: 933.3136, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7357, kappa: 0.4619, kb_relative_information_score: 25.731, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7413, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8469, scimark_benchmark: 915.9693, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7357, kappa: 0.4619, kb_relative_information_score: 42.6019, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7413, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8808, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7263, kappa: 0.4426, kb_relative_information_score: 43.0502, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.73, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0218, scimark_benchmark: 1333.5799, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7321, kappa: 0.4565, kb_relative_information_score: 45.4744, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7473, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9702, scimark_benchmark: 1321.3021, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7321, kappa: 0.4565, kb_relative_information_score: 43.5169, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7473, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9277, scimark_benchmark: 882.7843, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.762, kappa: 0.518, kb_relative_information_score: 44.3451, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7829, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8685, scimark_benchmark: 876.0664, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.76, kappa: 0.5156, kb_relative_information_score: 35.7026, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7895, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8837, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.4967, kappa: -0.0135, kb_relative_information_score: 0.7037, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4997, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5422, root_relative_squared_error: 1.0922, scimark_benchmark: 1321.9426, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5024, f_measure: 0.4967, kappa: -0.0135, kb_relative_information_score: 0.8163, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4997, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5743, root_relative_squared_error: 1.157, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4562, f_measure: 0.4654, kappa: -0.0887, kb_relative_information_score: -8.1885, mean_absolute_error: 0.53, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.463, predictive_accuracy: 0.47, prior_entropy: 0.99, recall: 0.47, relative_absolute_error: 1.0752, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.728, root_relative_squared_error: 1.4666, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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