Task
Supervised Classification on fri_c0_100_10

Supervised Classification on fri_c0_100_10

Task 3673 Supervised Classification fri_c0_100_10 754 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: 0.9051, f_measure: 0.8092, kappa: 0.6138, kb_relative_information_score: 51.4931, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.81, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7225, scimark_benchmark: 1264.9916, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.7235, kappa: 0.4421, kb_relative_information_score: 38.8591, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7358, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9074, scimark_benchmark: 1321.4561, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8279, kappa: 0.6516, kb_relative_information_score: 38.7562, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8343, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7486, scimark_benchmark: 1303.3869, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4971, kappa: -0.0183, kb_relative_information_score: -0.1037, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4959, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0932, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4971, kappa: -0.0183, kb_relative_information_score: -0.1037, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4959, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0932, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.7235, kappa: 0.4421, kb_relative_information_score: 38.8591, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7358, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9074, scimark_benchmark: 1281.7531, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.4971, kappa: -0.0183, kb_relative_information_score: -0.1827, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4959, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.543, root_relative_squared_error: 1.0914, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8, kappa: 0.596, kb_relative_information_score: 46.6629, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7476, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4951, kappa: -0.0225, kb_relative_information_score: -0.9777, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4937, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5587, root_relative_squared_error: 1.123, scimark_benchmark: 1335.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8092, kappa: 0.6138, kb_relative_information_score: 51.4931, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.81, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7225, scimark_benchmark: 1345.6844, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4971, kappa: -0.0183, kb_relative_information_score: -0.1037, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4959, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0932, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.4971, kappa: -0.0183, kb_relative_information_score: -0.1827, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4959, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.543, root_relative_squared_error: 1.0914, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4971, kappa: -0.0183, kb_relative_information_score: -0.1037, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4959, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0932, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7778, kappa: 0.5501, kb_relative_information_score: 35.957, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7815, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7905, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4971, kappa: -0.0183, kb_relative_information_score: -0.1037, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4959, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0932, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7302, kappa: 0.4556, kb_relative_information_score: 39.4704, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7306, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6121, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8973, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4971, kappa: -0.0183, kb_relative_information_score: -0.1037, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4959, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0932, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4971, kappa: -0.0183, kb_relative_information_score: -0.1037, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4959, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0932, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7302, kappa: 0.4556, kb_relative_information_score: 39.4704, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7306, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6121, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8973, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8279, kappa: 0.6516, kb_relative_information_score: 38.7562, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8343, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7486, scimark_benchmark: 1342.6744, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4971, kappa: -0.0183, kb_relative_information_score: -0.1037, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4959, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0932, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4971, kappa: -0.0183, kb_relative_information_score: -0.1037, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4959, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0932, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8279, kappa: 0.6516, kb_relative_information_score: 38.7562, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8343, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7486, scimark_benchmark: 1316.5396, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4971, kappa: -0.0183, kb_relative_information_score: -0.1037, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4959, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0932, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7778, kappa: 0.5501, kb_relative_information_score: 35.957, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7815, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7905, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4971, kappa: -0.0183, kb_relative_information_score: -0.1037, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4959, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0932, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.7235, kappa: 0.4421, kb_relative_information_score: 38.8591, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7358, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9074, scimark_benchmark: 1322.5413, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4951, kappa: -0.0225, kb_relative_information_score: -0.9777, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4937, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5587, root_relative_squared_error: 1.123, scimark_benchmark: 1340.9446,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4951, kappa: -0.0225, kb_relative_information_score: -0.9777, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4937, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5587, root_relative_squared_error: 1.123, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8279, kappa: 0.6516, kb_relative_information_score: 38.7562, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8343, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.6556, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7486, scimark_benchmark: 946.9304, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4971, kappa: -0.0183, kb_relative_information_score: -0.1037, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.4959, predictive_accuracy: 0.5, prior_entropy: 0.9931, recall: 0.5, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0932, scimark_benchmark: 1317.5857,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.8302, kappa: 0.6573, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8305, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8288, scimark_benchmark: 1303.3869, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.6808, kappa: 0.3587, kb_relative_information_score: 33.0689, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6837, predictive_accuracy: 0.68, prior_entropy: 0.9931, recall: 0.68, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8609,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.797, kappa: 0.5893, kb_relative_information_score: 29.6662, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8048, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 28.8486, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 28.8486, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 28.8486, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 28.8486, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 28.8486, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.3903, kb_relative_information_score: 2.0892, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.3903, kb_relative_information_score: 2.0892, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 28.8486, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.3903, kb_relative_information_score: 2.0892, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.3903, kb_relative_information_score: 2.0892, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.3903, kb_relative_information_score: 2.0892, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7302, kappa: 0.4556, kb_relative_information_score: 39.4704, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7306, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.6121, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8973, scimark_benchmark: 851.2074, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8, kappa: 0.596, kb_relative_information_score: 46.6629, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7476, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8293, kappa: 0.6545, kb_relative_information_score: 48.1183, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8302, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8203, kappa: 0.6378, kb_relative_information_score: 54.5956, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3606, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7743,

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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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs