Task
Supervised Classification on fri_c0_100_5

Supervised Classification on fri_c0_100_5

Task 3620 Supervised Classification fri_c0_100_5 927 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: 0.9457, f_measure: 0.88, kappa: 0.7585, kb_relative_information_score: 53.0888, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9956, recall: 0.88, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8597, kappa: 0.7173, kb_relative_information_score: 68.1057, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 0.9956, recall: 0.86, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8094, kappa: 0.6157, kb_relative_information_score: 50.4942, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8102, predictive_accuracy: 0.81, prior_entropy: 0.9956, recall: 0.81, relative_absolute_error: 0.521, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8701, kappa: 0.7387, kb_relative_information_score: 52.5595, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8704, predictive_accuracy: 0.87, prior_entropy: 0.9956, recall: 0.87, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7898, kappa: 0.5766, kb_relative_information_score: 47.6451, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.849, kappa: 0.6956, kb_relative_information_score: 68.3299, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8524, predictive_accuracy: 0.85, prior_entropy: 0.9956, recall: 0.85, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8301, kappa: 0.6584, kb_relative_information_score: 62.5198, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8304, predictive_accuracy: 0.83, prior_entropy: 0.9956, recall: 0.83, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8593, kappa: 0.7164, kb_relative_information_score: 71.4115, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8614, predictive_accuracy: 0.86, prior_entropy: 0.9956, recall: 0.86, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.7996, kappa: 0.5961, kb_relative_information_score: 57.9509, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7998, predictive_accuracy: 0.8, prior_entropy: 0.9956, recall: 0.8, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8087, kappa: 0.6144, kb_relative_information_score: 63.6895, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8116, predictive_accuracy: 0.81, prior_entropy: 0.9956, recall: 0.81, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.346, root_relative_squared_error: 0.6943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8691, kappa: 0.7362, kb_relative_information_score: 49.4996, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8727, predictive_accuracy: 0.87, prior_entropy: 0.9956, recall: 0.87, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.6683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8397, kappa: 0.6769, kb_relative_information_score: 45.1589, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9956, recall: 0.84, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8273, kappa: 0.6528, kb_relative_information_score: 51.8154, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8388, predictive_accuracy: 0.83, prior_entropy: 0.9956, recall: 0.83, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8397, kappa: 0.6769, kb_relative_information_score: 62.8677, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9956, recall: 0.84, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.7898, kappa: 0.5766, kb_relative_information_score: 47.1743, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7898, kappa: 0.5766, kb_relative_information_score: 31.3544, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4517, f_measure: 0.3787, kb_relative_information_score: -0.165, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9956, recall: 0.54, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.7983, kappa: 0.5935, kb_relative_information_score: 51.5048, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8025, predictive_accuracy: 0.8, prior_entropy: 0.9956, recall: 0.8, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.849, kappa: 0.6956, kb_relative_information_score: 58.9322, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8524, predictive_accuracy: 0.85, prior_entropy: 0.9956, recall: 0.85, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.6347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.7893, kappa: 0.5752, kb_relative_information_score: 52.905, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.79, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.6985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8597, kappa: 0.7173, kb_relative_information_score: 62.7119, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 0.9956, recall: 0.86, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7603, kappa: 0.5185, kb_relative_information_score: 48.5961, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7612, predictive_accuracy: 0.76, prior_entropy: 0.9956, recall: 0.76, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8899, kappa: 0.7782, kb_relative_information_score: 53.3159, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.9956, recall: 0.89, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8899, kappa: 0.7782, kb_relative_information_score: 53.3159, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.9956, recall: 0.89, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8392, kappa: 0.6759, kb_relative_information_score: 67.6963, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9956, recall: 0.84, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.7803, kappa: 0.5586, kb_relative_information_score: 42.7818, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7812, predictive_accuracy: 0.78, prior_entropy: 0.9956, recall: 0.78, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.8196, kappa: 0.6365, kb_relative_information_score: 63.6606, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8199, predictive_accuracy: 0.82, prior_entropy: 0.9956, recall: 0.82, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8402, kappa: 0.681, kb_relative_information_score: 50.2086, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8464, predictive_accuracy: 0.84, prior_entropy: 0.9956, recall: 0.84, relative_absolute_error: 0.5358, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.799, kappa: 0.5948, kb_relative_information_score: 59.6248, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8007, predictive_accuracy: 0.8, prior_entropy: 0.9956, recall: 0.8, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.88, kappa: 0.7585, kb_relative_information_score: 52.5965, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9956, recall: 0.88, relative_absolute_error: 0.5208, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.316, root_relative_squared_error: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7603, kappa: 0.5185, kb_relative_information_score: 48.5961, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7612, predictive_accuracy: 0.76, prior_entropy: 0.9956, recall: 0.76, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8899, kappa: 0.7782, kb_relative_information_score: 53.3159, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.9956, recall: 0.89, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8701, kappa: 0.7387, kb_relative_information_score: 64.5291, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8704, predictive_accuracy: 0.87, prior_entropy: 0.9956, recall: 0.87, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.5954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8202, kappa: 0.6411, kb_relative_information_score: 47.2034, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8263, predictive_accuracy: 0.82, prior_entropy: 0.9956, recall: 0.82, relative_absolute_error: 0.5615, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.78, kappa: 0.5572, kb_relative_information_score: 55.5891, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9956, recall: 0.78, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.8046, kappa: 0.6094, kb_relative_information_score: 61.6427, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8292, predictive_accuracy: 0.81, prior_entropy: 0.9956, recall: 0.81, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8746, scimark_benchmark: 1631.1992, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.84, kappa: 0.6779, kb_relative_information_score: 67.6963, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9956, recall: 0.84, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8026, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.88, kappa: 0.7585, kb_relative_information_score: 75.7678, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9956, recall: 0.88, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.695, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.84, kappa: 0.6779, kb_relative_information_score: 67.6963, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9956, recall: 0.84, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8026, scimark_benchmark: 1369.0359, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.88, kappa: 0.7585, kb_relative_information_score: 75.7678, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9956, recall: 0.88, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.695, scimark_benchmark: 1374.7011, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.8046, kappa: 0.6094, kb_relative_information_score: 61.6427, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8292, predictive_accuracy: 0.81, prior_entropy: 0.9956, recall: 0.81, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8746, scimark_benchmark: 1382.6278, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7996, kappa: 0.5961, kb_relative_information_score: 53.2861, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7998, predictive_accuracy: 0.8, prior_entropy: 0.9956, recall: 0.8, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8092, scimark_benchmark: 1908.2191, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8289, kappa: 0.655, kb_relative_information_score: 61.9132, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.832, predictive_accuracy: 0.83, prior_entropy: 0.9956, recall: 0.83, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7522, scimark_benchmark: 1908.2191, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8502, kappa: 0.6995, kb_relative_information_score: 68.2207, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.852, predictive_accuracy: 0.85, prior_entropy: 0.9956, recall: 0.85, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.6711, scimark_benchmark: 1353.1266, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8402, kappa: 0.679, kb_relative_information_score: 45.064, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8411, predictive_accuracy: 0.84, prior_entropy: 0.9956, recall: 0.84, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7113, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7387, kappa: 0.4733, kb_relative_information_score: 46.2157, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7399, predictive_accuracy: 0.74, prior_entropy: 0.9956, recall: 0.74, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7747, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.849, kappa: 0.6956, kb_relative_information_score: 58.9322, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8524, predictive_accuracy: 0.85, prior_entropy: 0.9956, recall: 0.85, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.6347, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8696, kappa: 0.7371, kb_relative_information_score: 73.7499, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8707, predictive_accuracy: 0.87, prior_entropy: 0.9956, recall: 0.87, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7234, usercpu_time_millis: 0.178, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.8699, kappa: 0.7379, kb_relative_information_score: 73.7499, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 0.9956, recall: 0.87, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.8, kappa: 0.5974, kb_relative_information_score: 59.6248, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9956, recall: 0.8, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8973, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.8495, kappa: 0.6966, kb_relative_information_score: 69.7142, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8506, predictive_accuracy: 0.85, prior_entropy: 0.9956, recall: 0.85, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7771, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.7387, kappa: 0.4733, kb_relative_information_score: 37.1045, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7399, predictive_accuracy: 0.74, prior_entropy: 0.9956, recall: 0.74, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9031, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.7163, kappa: 0.429, kb_relative_information_score: 32.9308, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7222, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9142, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.799, kappa: 0.5948, kb_relative_information_score: 40.8157, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.8007, predictive_accuracy: 0.8, prior_entropy: 0.9956, recall: 0.8, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7557, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.88, kappa: 0.7585, kb_relative_information_score: 53.0888, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9956, recall: 0.88, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6317, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.7, kappa: 0.3961, kb_relative_information_score: 34.559, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0085, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7603, kappa: 0.5185, kb_relative_information_score: 48.5961, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7612, predictive_accuracy: 0.76, prior_entropy: 0.9956, recall: 0.76, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.914, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.7903, kappa: 0.5793, kb_relative_information_score: 43.8462, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7921, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7986, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,

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

OpenML bootcamp

From your own software

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

OpenML APIs