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Function: require_once

OpenML
Task
Supervised Classification on jEdit_4.2_4.3

Supervised Classification on jEdit_4.2_4.3

Task 3901 Supervised Classification jEdit_4.2_4.3 568 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.6607, kappa: 0.3128, kb_relative_information_score: 84.9729, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6604, predictive_accuracy: 0.6612, prior_entropy: 0.992, recall: 0.6612, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5101, root_relative_squared_error: 1.026, scimark_benchmark: 1304.9611, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.5625, kappa: 0.142, kb_relative_information_score: 66.1609, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5966, predictive_accuracy: 0.5962, prior_entropy: 0.992, recall: 0.5962, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6354, root_relative_squared_error: 1.2781, scimark_benchmark: 937.6212, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3936, kb_relative_information_score: 33.6447, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.3056, predictive_accuracy: 0.5528, prior_entropy: 0.992, recall: 0.5528, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3449, scimark_benchmark: 885.0921, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.633, kappa: 0.2561, kb_relative_information_score: 94.6125, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6325, predictive_accuracy: 0.6341, prior_entropy: 0.992, recall: 0.6341, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6049, root_relative_squared_error: 1.2165, scimark_benchmark: 1250.8301, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.6112, kappa: 0.2121, kb_relative_information_score: 38.2704, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6107, predictive_accuracy: 0.6125, prior_entropy: 0.992, recall: 0.6125, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9639, scimark_benchmark: 1335.643, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.4571, kappa: -0.0372, kb_relative_information_score: -31.3876, mean_absolute_error: 0.5339, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.4842, predictive_accuracy: 0.4661, prior_entropy: 0.992, recall: 0.4661, relative_absolute_error: 1.0797, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.7307, root_relative_squared_error: 1.4696, scimark_benchmark: 938.9967, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6147, kappa: 0.2199, kb_relative_information_score: 42.3663, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6143, predictive_accuracy: 0.6152, prior_entropy: 0.992, recall: 0.6152, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9607, scimark_benchmark: 1346.9602, usercpu_time_millis: 2060, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.5562, kappa: 0.1938, kb_relative_information_score: 92.5803, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.7415, predictive_accuracy: 0.6314, prior_entropy: 0.992, recall: 0.6314, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6071, root_relative_squared_error: 1.221, scimark_benchmark: 1372.2145, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.5919, kappa: 0.201, kb_relative_information_score: 51.3881, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6125, predictive_accuracy: 0.5935, prior_entropy: 0.992, recall: 0.5935, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0471, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6373, kappa: 0.2797, kb_relative_information_score: 45.584, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6487, predictive_accuracy: 0.6369, prior_entropy: 0.992, recall: 0.6369, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9767, scimark_benchmark: 934.0566, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.6257, kappa: 0.2616, kb_relative_information_score: 46.9296, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6418, predictive_accuracy: 0.626, prior_entropy: 0.992, recall: 0.626, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9911, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, f_measure: 0.6618, kappa: 0.3176, kb_relative_information_score: 72.7946, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6628, predictive_accuracy: 0.6612, prior_entropy: 0.992, recall: 0.6612, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9825, scimark_benchmark: 874.0917, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6876, kappa: 0.3671, kb_relative_information_score: 87.9498, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6873, predictive_accuracy: 0.6883, prior_entropy: 0.992, recall: 0.6883, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9273, scimark_benchmark: 1066.7184, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, f_measure: 0.6015, kappa: 0.1938, kb_relative_information_score: 70.2254, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6014, predictive_accuracy: 0.6016, prior_entropy: 0.992, recall: 0.6016, relative_absolute_error: 0.8057, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2694, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.6529, kappa: 0.2976, kb_relative_information_score: 65.1516, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6527, predictive_accuracy: 0.6531, prior_entropy: 0.992, recall: 0.6531, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9848, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6756, kappa: 0.3468, kb_relative_information_score: 76.1164, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6778, predictive_accuracy: 0.6748, prior_entropy: 0.992, recall: 0.6748, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9654, scimark_benchmark: 1355.7054, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.5884, kappa: 0.1839, kb_relative_information_score: 60.0641, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6, predictive_accuracy: 0.5881, prior_entropy: 0.992, recall: 0.5881, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6418, root_relative_squared_error: 1.2909, scimark_benchmark: 1341.5768, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.4652, kappa: 0.0373, kb_relative_information_score: 39.7415, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.556, predictive_accuracy: 0.561, prior_entropy: 0.992, recall: 0.561, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6626, root_relative_squared_error: 1.3326, scimark_benchmark: 1442.7264, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.6513, kappa: 0.299, kb_relative_information_score: 75.5831, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6544, predictive_accuracy: 0.6504, prior_entropy: 0.992, recall: 0.6504, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9618, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5325, f_measure: 0.5392, kappa: 0.0655, kb_relative_information_score: 25.5157, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5382, predictive_accuracy: 0.542, prior_entropy: 0.992, recall: 0.542, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6768, root_relative_squared_error: 1.3611, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.6449, kappa: 0.2815, kb_relative_information_score: 102.7416, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6448, predictive_accuracy: 0.645, prior_entropy: 0.992, recall: 0.645, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5958, root_relative_squared_error: 1.1984, scimark_benchmark: 1464.9318, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.3936, kb_relative_information_score: -0.0596, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.3056, predictive_accuracy: 0.5528, prior_entropy: 0.992, recall: 0.5528, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0001, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6753, kappa: 0.3445, kb_relative_information_score: 77.0973, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6761, predictive_accuracy: 0.6748, prior_entropy: 0.992, recall: 0.6748, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9997, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.4796, kappa: 0.1353, kb_relative_information_score: 16.3532, mean_absolute_error: 0.4704, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6503, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5709, root_relative_squared_error: 1.1481, scimark_benchmark: 931.2336, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, f_measure: 0.4796, kappa: 0.1353, kb_relative_information_score: 14.8132, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6503, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5706, root_relative_squared_error: 1.1476, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, f_measure: 0.4796, kappa: 0.1353, kb_relative_information_score: 14.8132, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6503, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5706, root_relative_squared_error: 1.1476, scimark_benchmark: 938.2848, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, f_measure: 0.4796, kappa: 0.1353, kb_relative_information_score: 14.8132, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6503, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5706, root_relative_squared_error: 1.1476, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, f_measure: 0.4796, kappa: 0.1353, kb_relative_information_score: 14.8132, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6503, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5706, root_relative_squared_error: 1.1476, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.669, kappa: 0.3286, kb_relative_information_score: 96.1701, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6703, predictive_accuracy: 0.6721, prior_entropy: 0.992, recall: 0.6721, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0065, scimark_benchmark: 936.7115, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6615, kappa: 0.316, kb_relative_information_score: 89.6249, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6619, predictive_accuracy: 0.6612, prior_entropy: 0.992, recall: 0.6612, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0149, scimark_benchmark: 876.8277, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.642, kappa: 0.274, kb_relative_information_score: 76.5357, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6426, predictive_accuracy: 0.645, prior_entropy: 0.992, recall: 0.645, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0077, scimark_benchmark: 936.6206, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.618, kappa: 0.2276, kb_relative_information_score: 65.4823, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6181, predictive_accuracy: 0.6179, prior_entropy: 0.992, recall: 0.6179, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0305, scimark_benchmark: 934.5243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.5751, kappa: 0.1419, kb_relative_information_score: 47.3063, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5758, predictive_accuracy: 0.5745, prior_entropy: 0.992, recall: 0.5745, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.0417, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5778, build_cpu_time: 0.1775, build_memory: 888867652.1626, f_measure: 0.5801, kappa: 0.1509, kb_relative_information_score: 46.1059, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5802, predictive_accuracy: 0.5799, prior_entropy: 0.992, recall: 0.5799, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6143, root_relative_squared_error: 1.2355, scimark_benchmark: 927.3354,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, build_cpu_time: 0.0444, build_memory: 1354318723.4472, f_measure: 0.5728, kappa: 0.1399, kb_relative_information_score: 45.277, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5751, predictive_accuracy: 0.5718, prior_entropy: 0.992, recall: 0.5718, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.572, root_relative_squared_error: 1.1505, scimark_benchmark: 925.481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5955, build_cpu_time: 0.0078, build_memory: 635607254.2439, f_measure: 0.5904, kappa: 0.1709, kb_relative_information_score: 38.8927, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5901, predictive_accuracy: 0.5908, prior_entropy: 0.992, recall: 0.5908, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0798, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, build_cpu_time: 0.0067, build_memory: 982173891.252, f_measure: 0.4796, kappa: 0.1353, kb_relative_information_score: 14.8132, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6503, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5706, root_relative_squared_error: 1.1476, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, build_cpu_time: 0.0138, build_memory: 1179736481.5827, f_measure: 0.4796, kappa: 0.1353, kb_relative_information_score: 14.8132, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6503, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5706, root_relative_squared_error: 1.1476, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, build_cpu_time: 4.0951, build_memory: 577373763.0786, f_measure: 0.6535, kappa: 0.3, kb_relative_information_score: 59.3009, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.654, predictive_accuracy: 0.6531, prior_entropy: 0.992, recall: 0.6531, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.974, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, build_cpu_time: 8.2909, build_memory: 726323233.4959, f_measure: 0.6531, kappa: 0.2984, kb_relative_information_score: 73.2789, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6531, predictive_accuracy: 0.6531, prior_entropy: 0.992, recall: 0.6531, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.9745, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, build_cpu_time: 16.6147, build_memory: 36946117.7669, f_measure: 0.6633, kappa: 0.318, kb_relative_information_score: 92.2189, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.663, predictive_accuracy: 0.664, prior_entropy: 0.992, recall: 0.664, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9963, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, build_cpu_time: 33.5712, build_memory: 872273368.8672, f_measure: 0.6467, kappa: 0.2841, kb_relative_information_score: 97.9982, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6463, predictive_accuracy: 0.6477, prior_entropy: 0.992, recall: 0.6477, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0336, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, build_cpu_time: 66.7495, build_memory: 51938484.2493, f_measure: 0.6635, kappa: 0.3187, kb_relative_information_score: 106.3418, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6633, predictive_accuracy: 0.664, prior_entropy: 0.992, recall: 0.664, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5374, root_relative_squared_error: 1.0809, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, build_cpu_time: 41.06, build_memory: 91131113.2575, f_measure: 0.6624, kappa: 0.3156, kb_relative_information_score: 116.502, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6623, predictive_accuracy: 0.664, prior_entropy: 0.992, recall: 0.664, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5769, root_relative_squared_error: 1.1603, scimark_benchmark: 942.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, build_cpu_time: 18.9063, build_memory: 792296376.0434, f_measure: 0.6633, kappa: 0.318, kb_relative_information_score: 116.8403, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.663, predictive_accuracy: 0.664, prior_entropy: 0.992, recall: 0.664, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5771, root_relative_squared_error: 1.1608, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, build_cpu_time: 8.7993, build_memory: 2233512610.7534, f_measure: 0.669, kappa: 0.3297, kb_relative_information_score: 118.4349, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6687, predictive_accuracy: 0.6694, prior_entropy: 0.992, recall: 0.6694, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5699, root_relative_squared_error: 1.1462, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, build_cpu_time: 4.3801, build_memory: 103614313.2791, f_measure: 0.6644, kappa: 0.3227, kb_relative_information_score: 117.8903, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6653, predictive_accuracy: 0.664, prior_entropy: 0.992, recall: 0.664, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5616, root_relative_squared_error: 1.1296, scimark_benchmark: 938.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, build_cpu_time: 1.943, build_memory: 1093289856.8455, f_measure: 0.6335, kappa: 0.2579, kb_relative_information_score: 100.7589, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6332, predictive_accuracy: 0.6341, prior_entropy: 0.992, recall: 0.6341, relative_absolute_error: 0.7215, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5658, root_relative_squared_error: 1.1379, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, build_cpu_time: 0.2636, build_memory: 1205638186.9052, f_measure: 0.651, kappa: 0.2958, kb_relative_information_score: 80.5006, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.652, predictive_accuracy: 0.6504, prior_entropy: 0.992, recall: 0.6504, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0334, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, build_cpu_time: 0.4441, build_memory: 119064480.0217, f_measure: 0.6477, kappa: 0.2874, kb_relative_information_score: 95.1053, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6477, predictive_accuracy: 0.6477, prior_entropy: 0.992, recall: 0.6477, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0427, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, build_cpu_time: 0.9118, build_memory: 844550779.9675, f_measure: 0.627, kappa: 0.2497, kb_relative_information_score: 89.554, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6297, predictive_accuracy: 0.626, prior_entropy: 0.992, recall: 0.626, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5498, root_relative_squared_error: 1.1059, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, build_cpu_time: 4.2337, build_memory: 1374360107.4905, f_measure: 0.6617, kappa: 0.3168, kb_relative_information_score: 113.6927, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6623, predictive_accuracy: 0.6612, prior_entropy: 0.992, recall: 0.6612, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5623, root_relative_squared_error: 1.131, scimark_benchmark: 914.1182,

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