OpenML
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: 0.7646, f_measure: 0.7691, kappa: 0.5325, kb_relative_information_score: 53.3276, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7696, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.964, usercpu_time_millis: 1.354, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 1.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.6805, kappa: 0.3638, kb_relative_information_score: 35.0754, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6898, predictive_accuracy: 0.68, prior_entropy: 0.9931, recall: 0.68, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1371, usercpu_time_millis: 0.714, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 0.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.7007, kappa: 0.3988, kb_relative_information_score: 39.1315, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7037, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.101, usercpu_time_millis: 0.186, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.82, kappa: 0.6364, kb_relative_information_score: 63.4677, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8528, usercpu_time_millis: 0.123, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.8203, kappa: 0.6378, kb_relative_information_score: 63.4677, mean_absolute_error: 0.18, 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: 0.3636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8528, usercpu_time_millis: 0.612, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.8293, kappa: 0.6545, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, 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: 0.3434, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8288, usercpu_time_millis: 5.541, usercpu_time_millis_testing: 1.003, usercpu_time_millis_training: 4.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.5589, kappa: 0.1075, kb_relative_information_score: 10.7392, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5583, predictive_accuracy: 0.56, prior_entropy: 0.9931, recall: 0.56, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.6096, kappa: 0.2105, kb_relative_information_score: 20.8793, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6093, predictive_accuracy: 0.61, prior_entropy: 0.9931, recall: 0.61, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2553, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.8098, kappa: 0.6154, kb_relative_information_score: 61.4397, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8097, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8762, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.557, f_measure: 0.5495, kappa: 0.0891, kb_relative_information_score: 6.627, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5491, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5436, root_relative_squared_error: 1.0926, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.6776, kappa: 0.3542, kb_relative_information_score: 29.4163, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6993, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.7168, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9505, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8597, kappa: 0.716, kb_relative_information_score: 71.5797, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9931, recall: 0.86, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, f_measure: 0.6191, kappa: 0.2292, kb_relative_information_score: 12.8898, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6186, predictive_accuracy: 0.62, prior_entropy: 0.9931, recall: 0.62, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9838, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8699, kappa: 0.7368, kb_relative_information_score: 45.7279, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 0.9931, recall: 0.87, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7115, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7469, kappa: 0.4969, kb_relative_information_score: 51.2996, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7918, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.82, kappa: 0.6364, kb_relative_information_score: 63.4677, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8597, kappa: 0.716, kb_relative_information_score: 71.5797, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9931, recall: 0.86, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.7346, kappa: 0.4639, kb_relative_information_score: 47.2435, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7448, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.8293, kappa: 0.6545, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, 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: 0.3434, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8288, usercpu_time_millis: 5.179, usercpu_time_millis_testing: 0.869, usercpu_time_millis_training: 4.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.5869, kappa: 0.1961, kb_relative_information_score: 14.4568, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6113, predictive_accuracy: 0.59, prior_entropy: 0.9931, recall: 0.59, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0194, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7297, kappa: 0.4534, kb_relative_information_score: 42.7025, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0123, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.5895, kappa: 0.17, kb_relative_information_score: 13.6908, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5892, predictive_accuracy: 0.59, prior_entropy: 0.9931, recall: 0.59, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.0888, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
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: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6182, f_measure: 0.6206, kappa: 0.2354, kb_relative_information_score: 22.5262, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6217, predictive_accuracy: 0.62, prior_entropy: 0.9931, recall: 0.62, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.2257, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6888, kappa: 0.3699, kb_relative_information_score: 36.5001, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5508, root_relative_squared_error: 1.1071, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.6085, kappa: 0.2073, kb_relative_information_score: 13.0021, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.608, predictive_accuracy: 0.61, prior_entropy: 0.9931, recall: 0.61, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9834, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8498, kappa: 0.6964, kb_relative_information_score: 46.003, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8498, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7084, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -0.1774, mean_absolute_error: 0.4957, 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: 1.0011, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 67.5237, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4, root_relative_squared_error: 0.804, usercpu_time_millis: 284.664, usercpu_time_millis_testing: 4.129, usercpu_time_millis_training: 280.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.7672, kappa: 0.5287, kb_relative_information_score: 53.3276, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7722, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.964, usercpu_time_millis: 100.053, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 99.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.7, kappa: 0.3939, kb_relative_information_score: 39.1315, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.101, usercpu_time_millis: 8.556, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 8.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.8293, kappa: 0.6545, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, 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: 0.3434, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8288, usercpu_time_millis: 0.779, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.7103, kappa: 0.4153, kb_relative_information_score: 41.1595, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7107, predictive_accuracy: 0.71, prior_entropy: 0.9931, recall: 0.71, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0825, usercpu_time_millis: 0.178, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3903, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, 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: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484, usercpu_time_millis: 0.109, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8403, kappa: 0.6781, kb_relative_information_score: 67.5237, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4, root_relative_squared_error: 0.804, usercpu_time_millis: 0.157, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8298, kappa: 0.6559, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8298, 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, usercpu_time_millis: 0.231, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8298, kappa: 0.6559, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8298, 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, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8279, kappa: 0.6516, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, 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: 0.3434, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8288, usercpu_time_millis: 0.785, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7989, kappa: 0.5927, kb_relative_information_score: 59.4116, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8989, usercpu_time_millis: 0.141, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.8203, kappa: 0.6421, kb_relative_information_score: 63.4677, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8311, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8528, usercpu_time_millis: 5.326, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 5.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, f_measure: 0.5299, kappa: 0.1685, kb_relative_information_score: 22.9073, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7753, predictive_accuracy: 0.62, prior_entropy: 0.9931, recall: 0.62, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2391, usercpu_time_millis: 0.582, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, f_measure: 0.5465, kappa: 0.0816, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.5458, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484, usercpu_time_millis: 0.895, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3903, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, 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: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484, usercpu_time_millis: 0.072, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.7506, kappa: 0.5, kb_relative_information_score: 49.2715, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.755, predictive_accuracy: 0.75, prior_entropy: 0.9931, recall: 0.75, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5, root_relative_squared_error: 1.005, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3556, mean_absolute_error: 0.22, 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: 0.4444, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9428, usercpu_time_millis: 0.082, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8699, kappa: 0.7368, kb_relative_information_score: 73.6078, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 0.9931, recall: 0.87, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7247, usercpu_time_millis: 0.153, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.8196, kappa: 0.6349, kb_relative_information_score: 63.4677, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8198, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8528, usercpu_time_millis: 0.115, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7564, kappa: 0.5072, kb_relative_information_score: 51.2996, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.763, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9847, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.7297, kappa: 0.4534, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445, usercpu_time_millis: 1.666, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8298, kappa: 0.6559, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8298, 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, usercpu_time_millis: 0.037, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8298, kappa: 0.6559, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8298, 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, usercpu_time_millis: 0.123, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6888, kappa: 0.3699, kb_relative_information_score: 37.1034, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1192, usercpu_time_millis: 1.007, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7995, kappa: 0.5943, kb_relative_information_score: 59.4116, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8989, usercpu_time_millis: 0.031, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.6955, kappa: 0.384, kb_relative_information_score: 39.1315, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7003, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.101, usercpu_time_millis: 1.072, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.8293, kappa: 0.6545, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, 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: 0.3434, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8288, usercpu_time_millis: 17.455, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 16.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8298, kappa: 0.6559, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8298, 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, usercpu_time_millis: 0.055, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7787, kappa: 0.5519, kb_relative_information_score: 55.3556, mean_absolute_error: 0.22, 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: 0.4444, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9428, usercpu_time_millis: 0.14, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.8196, kappa: 0.6349, kb_relative_information_score: 63.4677, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8198, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8528, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 33.0474, mean_absolute_error: 0.33, 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: 0.6665, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1547, usercpu_time_millis: 0.478, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3903, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, 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: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484, usercpu_time_millis: 0.24, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.207,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.819, kappa: 0.6334, kb_relative_information_score: 63.4677, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8206, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8528, usercpu_time_millis: 0.535, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.6567, kappa: 0.3047, kb_relative_information_score: 31.0194, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6581, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1721, usercpu_time_millis: 0.293, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.8293, kappa: 0.6545, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, 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: 0.3434, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8288, usercpu_time_millis: 8.093, usercpu_time_millis_testing: 1.36, usercpu_time_millis_training: 6.733,
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,
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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,
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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,
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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: 0.8857, 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: 0.9228, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 30.1738, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7841,
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: 0.9228, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 30.1738, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 30.1738, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 30.1738, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8396, kappa: 0.6755, kb_relative_information_score: 30.1738, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7841,
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,
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,
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: 0.903, 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: 0.903, 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: 0.903, 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: 0.8707, 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: 0.903, 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: 0.903, 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: 0.6133, 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: 0.7222, 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,

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