OpenML
Supervised Classification on soybean

Supervised Classification on soybean

Task 41 Supervised Classification soybean 16132 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 under100k under1m
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16132 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9305, kappa: 0.9245, kb_relative_information_score: 603.3342, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9391, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.3799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9069, kappa: 0.8962, kb_relative_information_score: 625.777, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9266, predictive_accuracy: 0.9048, prior_entropy: 3.8572, recall: 0.9048, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.4457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9355, kappa: 0.9294, kb_relative_information_score: 628.8715, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9379, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.3352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.8848, kappa: 0.8841, kb_relative_information_score: 534.4722, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9184, predictive_accuracy: 0.8946, prior_entropy: 3.8572, recall: 0.8946, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.5242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9069, kappa: 0.8962, kb_relative_information_score: 625.6232, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9266, predictive_accuracy: 0.9048, prior_entropy: 3.8572, recall: 0.9048, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.4463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.931, kappa: 0.9245, kb_relative_information_score: 639.2276, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9333, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.3153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, kappa: 0.8986, kb_relative_information_score: 571.5948, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9078, prior_entropy: 3.8572, recall: 0.9078, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9128, kappa: 0.9041, kb_relative_information_score: 630.9141, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9279, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9282, kappa: 0.9228, kb_relative_information_score: 599.3865, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9405, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.2407, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.085, root_relative_squared_error: 0.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8343, kappa: 0.823, kb_relative_information_score: 580.7037, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8903, predictive_accuracy: 0.8389, prior_entropy: 3.8572, recall: 0.8389, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.5511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, kappa: 0.5807, kb_relative_information_score: 379.3939, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6281, prior_entropy: 3.8572, recall: 0.6281, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9214, kappa: 0.9148, kb_relative_information_score: 631.5439, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9241, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9113, kappa: 0.9025, kb_relative_information_score: 630.4464, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9267, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.4251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9014, kappa: 0.8896, kb_relative_information_score: 621.1115, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9225, predictive_accuracy: 0.899, prior_entropy: 3.8572, recall: 0.899, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1, root_relative_squared_error: 0.4562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.886, kappa: 0.8718, kb_relative_information_score: 609.6008, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9134, predictive_accuracy: 0.8829, prior_entropy: 3.8572, recall: 0.8829, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.4869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9068, kappa: 0.8961, kb_relative_information_score: 626.3673, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9254, predictive_accuracy: 0.9048, prior_entropy: 3.8572, recall: 0.9048, relative_absolute_error: 0.1061, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, kappa: 0.4237, kb_relative_information_score: 285.7213, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4963, prior_entropy: 3.8572, recall: 0.4963, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9128, kappa: 0.9041, kb_relative_information_score: 630.8802, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9279, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.4227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9092, kappa: 0.8993, kb_relative_information_score: 628.5918, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9268, predictive_accuracy: 0.9078, prior_entropy: 3.8572, recall: 0.9078, relative_absolute_error: 0.1014, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.4326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9043, kappa: 0.893, kb_relative_information_score: 623.548, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9261, predictive_accuracy: 0.9019, prior_entropy: 3.8572, recall: 0.9019, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.4525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9069, kappa: 0.8961, kb_relative_information_score: 624.6833, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9262, predictive_accuracy: 0.9048, prior_entropy: 3.8572, recall: 0.9048, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.098, root_relative_squared_error: 0.4471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9045, kappa: 0.893, kb_relative_information_score: 623.415, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9268, predictive_accuracy: 0.9019, prior_entropy: 3.8572, recall: 0.9019, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.4524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, kappa: 0.6771, kb_relative_information_score: 473.2389, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7101, prior_entropy: 3.8572, recall: 0.7101, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9029, kappa: 0.8914, kb_relative_information_score: 624.3941, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9245, predictive_accuracy: 0.9004, prior_entropy: 3.8572, recall: 0.9004, relative_absolute_error: 0.1093, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.4502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9068, kappa: 0.8961, kb_relative_information_score: 624.085, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.926, predictive_accuracy: 0.9048, prior_entropy: 3.8572, recall: 0.9048, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.4488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9029, kappa: 0.8914, kb_relative_information_score: 624.305, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9245, predictive_accuracy: 0.9004, prior_entropy: 3.8572, recall: 0.9004, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, kappa: 0.4312, kb_relative_information_score: 288.9671, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5022, prior_entropy: 3.8572, recall: 0.5022, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.8918, kappa: 0.8783, kb_relative_information_score: 614.7767, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9163, predictive_accuracy: 0.8887, prior_entropy: 3.8572, recall: 0.8887, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.4736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, kappa: 0.6619, kb_relative_information_score: 460.0568, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6969, prior_entropy: 3.8572, recall: 0.6969, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, kappa: 0.3505, kb_relative_information_score: 227.6795, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4363, prior_entropy: 3.8572, recall: 0.4363, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2202, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, kappa: 0.899, kb_relative_information_score: 611.7527, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9078, prior_entropy: 3.8572, recall: 0.9078, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9192, kappa: 0.9132, kb_relative_information_score: 603.8945, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9234, predictive_accuracy: 0.9209, prior_entropy: 3.8572, recall: 0.9209, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.3814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.8776, kappa: 0.8698, kb_relative_information_score: 556.9094, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.893, predictive_accuracy: 0.8814, prior_entropy: 3.8572, recall: 0.8814, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9131, kappa: 0.9041, kb_relative_information_score: 630.3772, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9288, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.0976, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.093, root_relative_squared_error: 0.4246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, kappa: 0.7488, kb_relative_information_score: 526.6648, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7731, prior_entropy: 3.8572, recall: 0.7731, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.6519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, kappa: 0.6619, kb_relative_information_score: 457.4379, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6969, prior_entropy: 3.8572, recall: 0.6969, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.7587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9115, kappa: 0.9025, kb_relative_information_score: 629.3633, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9277, predictive_accuracy: 0.9107, prior_entropy: 3.8572, recall: 0.9107, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.4295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9068, kappa: 0.8961, kb_relative_information_score: 623.6417, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9265, predictive_accuracy: 0.9048, prior_entropy: 3.8572, recall: 0.9048, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.4495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9005, kappa: 0.8881, kb_relative_information_score: 621.6766, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9228, predictive_accuracy: 0.8975, prior_entropy: 3.8572, recall: 0.8975, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.4556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9005, kappa: 0.8881, kb_relative_information_score: 621.3101, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9228, predictive_accuracy: 0.8975, prior_entropy: 3.8572, recall: 0.8975, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1, root_relative_squared_error: 0.4565,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9105, kappa: 0.9009, kb_relative_information_score: 629.034, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9274, predictive_accuracy: 0.9092, prior_entropy: 3.8572, recall: 0.9092, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, kappa: 0.6732, kb_relative_information_score: 400.9829, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7057, prior_entropy: 3.8572, recall: 0.7057, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.7126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, kappa: 0.3898, kb_relative_information_score: 270.5211, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4685, prior_entropy: 3.8572, recall: 0.4685, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.9783,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9128, kappa: 0.9041, kb_relative_information_score: 631.0885, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9279, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.4211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9083, kappa: 0.8978, kb_relative_information_score: 626.6165, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9273, predictive_accuracy: 0.9063, prior_entropy: 3.8572, recall: 0.9063, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.4409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9105, kappa: 0.9009, kb_relative_information_score: 628.9489, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9274, predictive_accuracy: 0.9092, prior_entropy: 3.8572, recall: 0.9092, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.4303,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9083, kappa: 0.8978, kb_relative_information_score: 626.9613, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9273, predictive_accuracy: 0.9063, prior_entropy: 3.8572, recall: 0.9063, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9128, kappa: 0.9041, kb_relative_information_score: 631.0247, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9279, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.4216,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9057, kappa: 0.8946, kb_relative_information_score: 625.1595, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9262, predictive_accuracy: 0.9034, prior_entropy: 3.8572, recall: 0.9034, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.4478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, kappa: 0.486, kb_relative_information_score: 327.942, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5476, prior_entropy: 3.8572, recall: 0.5476, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, kappa: 0.3699, kb_relative_information_score: 252.4494, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4524, prior_entropy: 3.8572, recall: 0.4524, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, kappa: 0.3524, kb_relative_information_score: 240.8454, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4378, prior_entropy: 3.8572, recall: 0.4378, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.217, root_relative_squared_error: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.8988, kappa: 0.8864, kb_relative_information_score: 618.4775, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9215, predictive_accuracy: 0.896, prior_entropy: 3.8572, recall: 0.896, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.4631,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, kappa: 0.871, kb_relative_information_score: 532.8296, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8829, prior_entropy: 3.8572, recall: 0.8829, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.117, root_relative_squared_error: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, kappa: 0.1519, kb_relative_information_score: 169.1264, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, kappa: 0.8921, kb_relative_information_score: 584.2468, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9019, prior_entropy: 3.8572, recall: 0.9019, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.4485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.918, kappa: 0.9132, kb_relative_information_score: 594.4691, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9273, predictive_accuracy: 0.9209, prior_entropy: 3.8572, recall: 0.9209, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.4077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, kappa: 0.1519, kb_relative_information_score: 169.1264, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9221, kappa: 0.9149, kb_relative_information_score: 630.0372, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9251, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.3437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, kappa: 0.3805, kb_relative_information_score: 254.1952, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4612, prior_entropy: 3.8572, recall: 0.4612, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, kappa: 0.1519, kb_relative_information_score: 169.1264, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, kappa: 0.1519, kb_relative_information_score: 169.1264, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9069, kappa: 0.8961, kb_relative_information_score: 624.164, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9262, predictive_accuracy: 0.9048, prior_entropy: 3.8572, recall: 0.9048, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.4486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9103, kappa: 0.9009, kb_relative_information_score: 629.3066, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9268, predictive_accuracy: 0.9092, prior_entropy: 3.8572, recall: 0.9092, relative_absolute_error: 0.1005, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.094, root_relative_squared_error: 0.4289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, kappa: 0.1519, kb_relative_information_score: 169.1264, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, kappa: 0.1519, kb_relative_information_score: 169.1264, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, kappa: 0.7752, kb_relative_information_score: 544.061, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7965, prior_entropy: 3.8572, recall: 0.7965, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.6199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, kappa: 0.4667, kb_relative_information_score: 309.5474, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5315, prior_entropy: 3.8572, recall: 0.5315, relative_absolute_error: 0.5285, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9029, kappa: 0.8913, kb_relative_information_score: 621.6479, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9233, predictive_accuracy: 0.9004, prior_entropy: 3.8572, recall: 0.9004, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.4549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9046, kappa: 0.893, kb_relative_information_score: 623.0731, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.926, predictive_accuracy: 0.9019, prior_entropy: 3.8572, recall: 0.9019, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, kappa: 0.7914, kb_relative_information_score: 489.0358, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8111, prior_entropy: 3.8572, recall: 0.8111, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, kappa: 0.1519, kb_relative_information_score: 169.1264, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2635, prior_entropy: 3.8572, recall: 0.2635, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9043, kappa: 0.9003, kb_relative_information_score: 590.2123, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9145, predictive_accuracy: 0.9092, prior_entropy: 3.8572, recall: 0.9092, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8987, kappa: 0.8864, kb_relative_information_score: 619.5092, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9207, predictive_accuracy: 0.896, prior_entropy: 3.8572, recall: 0.896, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.4606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9318, kappa: 0.9261, kb_relative_information_score: 617.0157, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.936, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.3553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, kappa: 0.6486, kb_relative_information_score: 441.1101, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6852, prior_entropy: 3.8572, recall: 0.6852, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.7784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kb_relative_information_score: 2.4097, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2191, root_relative_squared_error: 1,

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