OpenML
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 147053 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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147053 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 115.1468, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2557, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, kb_relative_information_score: 25.9076, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, kb_relative_information_score: -657.5366, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.9738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, kb_relative_information_score: -61.5721, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0077, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: -45.0738, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4781, f_measure: 0.6528, kappa: -0.0124, kb_relative_information_score: -4332.7244, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8657, predictive_accuracy: 0.5437, prior_entropy: 0.3667, recall: 0.5437, relative_absolute_error: 3.5127, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.6755, root_relative_squared_error: 2.6574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: -458.3617, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0604, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2544, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, kb_relative_information_score: 5.1958, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: 140.9752, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, kb_relative_information_score: -475.7601, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.9726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 86.7516, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2551, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, kb_relative_information_score: -516.3345, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9498, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, kb_relative_information_score: -607.5388, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0322, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.252, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: -1006.1235, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.1432, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2552, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 36.0462, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 100.615, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 89.8346, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2551, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: 43.3781, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2544, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, kb_relative_information_score: -1458.6051, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.2208, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2565, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kb_relative_information_score: -575.9856, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0773, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2545, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.9111, kappa: 0.1641, kb_relative_information_score: -203.2162, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9183, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.8602, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.9321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.8565, kappa: -0.0074, kb_relative_information_score: -757.2605, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8698, predictive_accuracy: 0.844, prior_entropy: 0.3667, recall: 0.844, relative_absolute_error: 1.201, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.395, root_relative_squared_error: 1.5538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, kb_relative_information_score: 28.1875, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, kb_relative_information_score: -191.339, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, kb_relative_information_score: -271.8714, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.035, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 116.9285, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2558, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kb_relative_information_score: 33.046, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, kb_relative_information_score: -329.4227, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.0338, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -849.9225, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.1181, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2549, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: -609.2101, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 1.082, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2545, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: -323.3737, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2599, root_relative_squared_error: 1.0225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: -873.8982, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.9901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.9136, kappa: 0.187, kb_relative_information_score: -804.5498, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.925, predictive_accuracy: 0.936, prior_entropy: 0.3667, recall: 0.936, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2602, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 327.1896, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.9196, kappa: 0.3124, kb_relative_information_score: -347.257, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9148, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.9542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5168, f_measure: 0.8924, kappa: 0.0939, kb_relative_information_score: -59.5268, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8836, predictive_accuracy: 0.9026, prior_entropy: 0.3667, recall: 0.9026, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3121, root_relative_squared_error: 1.2277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.9087, kappa: 0.291, kb_relative_information_score: 7.8028, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9084, predictive_accuracy: 0.9089, prior_entropy: 0.3667, recall: 0.9089, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3007, root_relative_squared_error: 1.1828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4781, f_measure: 0.8662, kappa: -0.0446, kb_relative_information_score: -478.0951, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.865, predictive_accuracy: 0.8674, prior_entropy: 0.3667, recall: 0.8674, relative_absolute_error: 1.0205, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3641, root_relative_squared_error: 1.4323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, f_measure: 0.8916, kappa: 0.0356, kb_relative_information_score: 26.55, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8765, predictive_accuracy: 0.9098, prior_entropy: 0.3667, recall: 0.9098, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3003, root_relative_squared_error: 1.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 284.2411, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 284.2411, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.904, kappa: 0.312, kb_relative_information_score: -123.7698, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9121, predictive_accuracy: 0.8972, prior_entropy: 0.3667, recall: 0.8972, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3206, root_relative_squared_error: 1.2613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.8786, kappa: 0.0636, kb_relative_information_score: -349.2495, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.879, predictive_accuracy: 0.8783, prior_entropy: 0.3667, recall: 0.8783, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3489, root_relative_squared_error: 1.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.9002, kappa: 0.2368, kb_relative_information_score: -102.2956, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.899, prior_entropy: 0.3667, recall: 0.899, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3178, root_relative_squared_error: 1.2502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.879, kappa: -0.01, kb_relative_information_score: -220.404, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8694, predictive_accuracy: 0.8891, prior_entropy: 0.3667, recall: 0.8891, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.333, root_relative_squared_error: 1.3102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.8764, kappa: -0.0036, kb_relative_information_score: -295.5639, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8703, predictive_accuracy: 0.8828, prior_entropy: 0.3667, recall: 0.8828, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3424, root_relative_squared_error: 1.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.9059, kappa: 0.1376, kb_relative_information_score: 219.8183, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.898, predictive_accuracy: 0.9261, prior_entropy: 0.3667, recall: 0.9261, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.0698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.9062, kappa: 0.1679, kb_relative_information_score: 166.1326, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8974, predictive_accuracy: 0.9216, prior_entropy: 0.3667, recall: 0.9216, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2801, root_relative_squared_error: 1.1019,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5547, f_measure: 0.8922, kappa: 0.1218, kb_relative_information_score: -113.0327, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8868, predictive_accuracy: 0.8981, prior_entropy: 0.3667, recall: 0.8981, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3192, root_relative_squared_error: 1.2558,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, f_measure: 0.9131, kappa: 0.2794, kb_relative_information_score: 144.6584, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9082, predictive_accuracy: 0.9197, prior_entropy: 0.3667, recall: 0.9197, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2833, root_relative_squared_error: 1.1145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.9093, kappa: 0.2937, kb_relative_information_score: 26.55, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9087, predictive_accuracy: 0.9098, prior_entropy: 0.3667, recall: 0.9098, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3003, root_relative_squared_error: 1.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.8848, kappa: -0.0093, kb_relative_information_score: -70.0842, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8694, predictive_accuracy: 0.9017, prior_entropy: 0.3667, recall: 0.9017, relative_absolute_error: 0.7567, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3135, root_relative_squared_error: 1.2334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, f_measure: 0.9057, kappa: 0.2453, kb_relative_information_score: 15.8128, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9027, predictive_accuracy: 0.9089, prior_entropy: 0.3667, recall: 0.9089, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3018, root_relative_squared_error: 1.1872,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.8772, kappa: 0.0692, kb_relative_information_score: -392.1981, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8797, predictive_accuracy: 0.8747, prior_entropy: 0.3667, recall: 0.8747, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.354, root_relative_squared_error: 1.3928,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.9054, kappa: 0.1733, kb_relative_information_score: 133.9213, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8967, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2849, root_relative_squared_error: 1.1207,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5528, f_measure: 0.9023, kappa: 0.1413, kb_relative_information_score: 112.447, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8924, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.288, root_relative_squared_error: 1.1331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.8953, kappa: 0.1748, kb_relative_information_score: -123.7698, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8934, predictive_accuracy: 0.8972, prior_entropy: 0.3667, recall: 0.8972, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3206, root_relative_squared_error: 1.2613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.91, kappa: 0.2645, kb_relative_information_score: 90.9727, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9057, predictive_accuracy: 0.9152, prior_entropy: 0.3667, recall: 0.9152, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2911, root_relative_squared_error: 1.1454,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.8827, kappa: 0.0646, kb_relative_information_score: -252.6154, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8792, predictive_accuracy: 0.8864, prior_entropy: 0.3667, recall: 0.8864, relative_absolute_error: 0.8747, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3371, root_relative_squared_error: 1.3261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.9071, kappa: 0.1431, kb_relative_information_score: 241.2925, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9009, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2686, root_relative_squared_error: 1.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5296, f_measure: 0.9044, kappa: 0.098, kb_relative_information_score: 262.7668, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9011, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5325, f_measure: 0.8792, kappa: 0.0649, kb_relative_information_score: -338.5124, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8792, predictive_accuracy: 0.8792, prior_entropy: 0.3667, recall: 0.8792, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3476, root_relative_squared_error: 1.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.512, f_measure: 0.9005, kappa: 0.0428, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9021, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, f_measure: 0.9117, kappa: 0.2587, kb_relative_information_score: 144.6584, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.906, predictive_accuracy: 0.9197, prior_entropy: 0.3667, recall: 0.9197, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2833, root_relative_squared_error: 1.1145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5284, f_measure: 0.8806, kappa: 0.0589, kb_relative_information_score: -295.5639, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8784, predictive_accuracy: 0.8828, prior_entropy: 0.3667, recall: 0.8828, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3424, root_relative_squared_error: 1.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, f_measure: 0.9055, kappa: 0.1032, kb_relative_information_score: 284.2411, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9082, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5712, f_measure: 0.8927, kappa: 0.1497, kb_relative_information_score: -145.2441, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8902, predictive_accuracy: 0.8954, prior_entropy: 0.3667, recall: 0.8954, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3234, root_relative_squared_error: 1.2724,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.9032, kappa: 0.3142, kb_relative_information_score: -145.2441, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9127, predictive_accuracy: 0.8954, prior_entropy: 0.3667, recall: 0.8954, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3234, root_relative_squared_error: 1.2724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 284.2411, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, f_measure: 0.8683, kappa: -0.0188, kb_relative_information_score: -467.358, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8683, predictive_accuracy: 0.8683, prior_entropy: 0.3667, recall: 0.8683, relative_absolute_error: 1.0136, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3628, root_relative_squared_error: 1.4274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5399, f_measure: 0.8815, kappa: 0.0804, kb_relative_information_score: -306.301, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8812, predictive_accuracy: 0.8819, prior_entropy: 0.3667, recall: 0.8819, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3437, root_relative_squared_error: 1.3521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5503, f_measure: 0.8872, kappa: 0.1057, kb_relative_information_score: -209.6669, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8845, predictive_accuracy: 0.89, prior_entropy: 0.3667, recall: 0.89, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3317, root_relative_squared_error: 1.3048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.556, f_measure: 0.9124, kappa: 0.1803, kb_relative_information_score: 316.4525, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9174, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, f_measure: 0.8993, kappa: 0.0239, kb_relative_information_score: 284.2411, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9362, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 284.2411, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0299,

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