Task
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 112802 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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112802 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8928, kappa: 0.4757, kb_relative_information_score: 223.4023, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8897, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.841, scimark_benchmark: 1875.0498, usercpu_time_millis: 0.486, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 0.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8778, kappa: 0.3507, kb_relative_information_score: 111.7207, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8881, predictive_accuracy: 0.8999, prior_entropy: 0.5368, recall: 0.8999, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.8236, scimark_benchmark: 1919.1841, usercpu_time_millis: 0.374, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8887, kappa: 0.4618, kb_relative_information_score: 238.4078, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8857, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.8508, scimark_benchmark: 1877.3453, usercpu_time_millis: 0.36, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8777, kappa: 0.3464, kb_relative_information_score: 78.8537, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8927, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.7189, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.8272, scimark_benchmark: 1974.0612, usercpu_time_millis: 0.352, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8887, kappa: 0.4618, kb_relative_information_score: 238.4078, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8857, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.8508, scimark_benchmark: 1943.4559, usercpu_time_millis: 0.343, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8777, kappa: 0.3464, kb_relative_information_score: 83.2161, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8927, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.8267, scimark_benchmark: 1936.3229, usercpu_time_millis: 0.369, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.8818, kappa: 0.4505, kb_relative_information_score: 372.4243, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8822, predictive_accuracy: 0.8813, prior_entropy: 0.5368, recall: 0.8813, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.9706, scimark_benchmark: 1865.6416, usercpu_time_millis: 0.367, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 0.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.8848, kappa: 0.4179, kb_relative_information_score: 199.8697, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8817, predictive_accuracy: 0.8957, prior_entropy: 0.5368, recall: 0.8957, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.8314, scimark_benchmark: 1946.465, usercpu_time_millis: 0.343, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 0.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8809, kappa: 0.4459, kb_relative_information_score: 308.2539, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8812, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.915, scimark_benchmark: 1879.4813, usercpu_time_millis: 0.375, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 0.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.8818, kappa: 0.4505, kb_relative_information_score: 372.4243, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8822, predictive_accuracy: 0.8813, prior_entropy: 0.5368, recall: 0.8813, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.9706, scimark_benchmark: 1872.0237, usercpu_time_millis: 0.362, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 0.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8816, kappa: 0.3833, kb_relative_information_score: 151.3927, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8835, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8229, scimark_benchmark: 2026.4385, usercpu_time_millis: 0.349, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8831, kappa: 0.3932, kb_relative_information_score: 158.3069, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8845, predictive_accuracy: 0.8992, prior_entropy: 0.5368, recall: 0.8992, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.8231, scimark_benchmark: 2025.7194, usercpu_time_millis: 0.34, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8789, kappa: 0.3553, kb_relative_information_score: 105.4462, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8913, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.8249, scimark_benchmark: 1900.7535, usercpu_time_millis: 0.375, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8777, kappa: 0.3464, kb_relative_information_score: 78.8537, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8927, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.7189, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.8272, scimark_benchmark: 1904.8675, usercpu_time_millis: 0.379, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8795, kappa: 0.3576, kb_relative_information_score: 96.8986, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.893, predictive_accuracy: 0.9019, prior_entropy: 0.5368, recall: 0.9019, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.8253, scimark_benchmark: 1880.3736, usercpu_time_millis: 0.396, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8861, kappa: 0.4124, kb_relative_information_score: 164.7833, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8866, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.8233, scimark_benchmark: 1971.1546, usercpu_time_millis: 0.354, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8774, kappa: 0.3546, kb_relative_information_score: 133.0674, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8816, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.8233, scimark_benchmark: 1943.9099, usercpu_time_millis: 0.367, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8853, kappa: 0.4129, kb_relative_information_score: 180.0324, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8841, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.8254, scimark_benchmark: 1943.6914, usercpu_time_millis: 0.384, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 0.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8816, kappa: 0.3816, kb_relative_information_score: 144.4844, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8846, predictive_accuracy: 0.8992, prior_entropy: 0.5368, recall: 0.8992, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.8232, scimark_benchmark: 1946.3028, usercpu_time_millis: 0.391, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8784, kappa: 0.3629, kb_relative_information_score: 137.6446, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8814, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.8237, scimark_benchmark: 1944.6048, usercpu_time_millis: 0.395, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8784, kappa: 0.3629, kb_relative_information_score: 137.6446, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8814, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.8237, scimark_benchmark: 1983.0222, usercpu_time_millis: 0.358, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8768, kappa: 0.3504, kb_relative_information_score: 128.3902, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8818, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.8234, scimark_benchmark: 1946.993, usercpu_time_millis: 0.373, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8928, kappa: 0.4757, kb_relative_information_score: 223.4023, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8897, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.841, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.492, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 0.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8854, kappa: 0.4115, kb_relative_information_score: 171.983, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8848, predictive_accuracy: 0.8992, prior_entropy: 0.5368, recall: 0.8992, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.8238, scimark_benchmark: 1866.4683, usercpu_time_millis: 0.395, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8784, kappa: 0.3629, kb_relative_information_score: 137.6446, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8814, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.8237, scimark_benchmark: 1940.807, usercpu_time_millis: 0.35, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8774, kappa: 0.3546, kb_relative_information_score: 133.0674, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8816, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.8233, scimark_benchmark: 1876.434, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.8826, kappa: 0.4549, kb_relative_information_score: 262.4327, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8832, predictive_accuracy: 0.882, prior_entropy: 0.5368, recall: 0.882, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.8617, scimark_benchmark: 1876.7581, usercpu_time_millis: 0.366, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 0.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8816, kappa: 0.3833, kb_relative_information_score: 151.3927, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8835, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8229, scimark_benchmark: 1870.742, usercpu_time_millis: 0.375, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 0.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8768, kappa: 0.3504, kb_relative_information_score: 128.3902, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8818, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.8234, scimark_benchmark: 2033.9311, usercpu_time_millis: 0.353, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8863, kappa: 0.4256, kb_relative_information_score: 190.0654, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8835, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.8272, scimark_benchmark: 1937.9108, usercpu_time_millis: 0.334, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 0.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.879, kappa: 0.3573, kb_relative_information_score: 115.9785, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8891, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.8235, scimark_benchmark: 1929.335, usercpu_time_millis: 0.353, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8774, kappa: 0.3546, kb_relative_information_score: 133.0674, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8816, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.8233, scimark_benchmark: 2116.3426, usercpu_time_millis: 0.339, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 0.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8511, kappa: 0.1823, kb_relative_information_score: 0.3171, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8843, predictive_accuracy: 0.8896, prior_entropy: 0.5368, recall: 0.8896, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.8772, scimark_benchmark: 1875.5994, usercpu_time_millis: 0.239, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8961, kappa: 0.4635, kb_relative_information_score: 325.8449, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8996, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.8019, scimark_benchmark: 1866.9264, usercpu_time_millis: 6.525, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 6.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8459, kappa: 0.1508, kb_relative_information_score: 62.3347, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8834, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.8297, scimark_benchmark: 1913.0193, usercpu_time_millis: 3.214, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 3.194,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8729, kappa: 0.3264, kb_relative_information_score: 157.7573, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8786, predictive_accuracy: 0.8951, prior_entropy: 0.5368, recall: 0.8951, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.8356, scimark_benchmark: 1864.6665, usercpu_time_millis: 21.81, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 21.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8969, kappa: 0.4747, kb_relative_information_score: 323.4082, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8973, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.7938, scimark_benchmark: 1868.7112, usercpu_time_millis: 10.633, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 10.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8958, kappa: 0.4652, kb_relative_information_score: 349.2031, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8973, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.7955, scimark_benchmark: 1867.1423, usercpu_time_millis: 13.499, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 13.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8977, kappa: 0.4763, kb_relative_information_score: 349.3564, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8992, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.7906, scimark_benchmark: 1870.6721, usercpu_time_millis: 19.129, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 19.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.8208, kb_relative_information_score: -1481.27, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.2847, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3283, root_relative_squared_error: 1.0026, scimark_benchmark: 1982.3307, usercpu_time_millis: 12.518, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 12.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8714, kappa: 0.3268, kb_relative_information_score: 199.9106, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8714, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.8342, scimark_benchmark: 1876.3041, usercpu_time_millis: 9.354, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 9.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8783, kappa: 0.3487, kb_relative_information_score: 152.2525, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8946, predictive_accuracy: 0.9019, prior_entropy: 0.5368, recall: 0.9019, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.8304, scimark_benchmark: 1869.6309, usercpu_time_millis: 9.541, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 9.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8948, kappa: 0.4645, kb_relative_information_score: 278.9708, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8946, predictive_accuracy: 0.906, prior_entropy: 0.5368, recall: 0.906, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.265, root_relative_squared_error: 0.8094, scimark_benchmark: 1872.9496, usercpu_time_millis: 10.614, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 10.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9119, kappa: 0.5701, kb_relative_information_score: 598.3898, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9101, predictive_accuracy: 0.9163, prior_entropy: 0.5368, recall: 0.9163, relative_absolute_error: 0.4725, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.7534, scimark_benchmark: 1906.4465, usercpu_time_millis: 18.283, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 18.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8981, kappa: 0.4748, kb_relative_information_score: 343.3807, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9014, predictive_accuracy: 0.9108, prior_entropy: 0.5368, recall: 0.9108, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.8015, scimark_benchmark: 1753.245, usercpu_time_millis: 19.249, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 19.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8724, kappa: 0.3142, kb_relative_information_score: 34.259, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8895, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.8631, scimark_benchmark: 1871.9601, usercpu_time_millis: 5.928, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 5.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8777, kappa: 0.3464, kb_relative_information_score: 196.0351, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8927, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.8482, scimark_benchmark: 1872.9496, usercpu_time_millis: 14.929, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 14.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.885, kappa: 0.3921, kb_relative_information_score: 213.4182, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8956, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.8364, scimark_benchmark: 1974.4123, usercpu_time_millis: 18.408, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 18.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9033, kappa: 0.5127, kb_relative_information_score: 381.1273, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9029, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.254, root_relative_squared_error: 0.7759, scimark_benchmark: 1871.5019, usercpu_time_millis: 7.317, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 7.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8927, kappa: 0.4492, kb_relative_information_score: 343.0961, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8935, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7644, scimark_benchmark: 1872.0299, usercpu_time_millis: 15.828, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 15.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8956, kappa: 0.4832, kb_relative_information_score: 518.9826, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8928, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.8208, scimark_benchmark: 1875.2509, usercpu_time_millis: 16.858, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 16.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9006, kappa: 0.4928, kb_relative_information_score: 372.1261, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9019, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.7864, scimark_benchmark: 1869.3555, usercpu_time_millis: 17.573, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 17.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.8208, kb_relative_information_score: -157.5349, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.9709, scimark_benchmark: 1870.5228, usercpu_time_millis: 10.941, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 10.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.8873, kappa: 0.4032, kb_relative_information_score: 234.6972, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8996, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.273, root_relative_squared_error: 0.8338, scimark_benchmark: 1752.1591, usercpu_time_millis: 6.743, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 6.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.9029, kappa: 0.5065, kb_relative_information_score: 389.0804, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9037, predictive_accuracy: 0.9129, prior_entropy: 0.5368, recall: 0.9129, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.7771, scimark_benchmark: 1750.3253, usercpu_time_millis: 24.174, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 24.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.8208, kb_relative_information_score: -4113.9387, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 2.2992, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.5083, scimark_benchmark: 1860.9209, usercpu_time_millis: 13.604, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 13.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8981, kappa: 0.4795, kb_relative_information_score: 341.7807, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8992, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.7935, scimark_benchmark: 1863.8517, usercpu_time_millis: 12.044, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 12.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.8208, kb_relative_information_score: -1682.3356, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.3305, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3318, root_relative_squared_error: 1.0134, scimark_benchmark: 1870.5228, usercpu_time_millis: 5.575, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 5.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.8208, kb_relative_information_score: -117.5303, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.9086, scimark_benchmark: 1876.23, usercpu_time_millis: 3.943, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 3.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8208, kb_relative_information_score: -85.9098, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.9534, scimark_benchmark: 1970.3388, usercpu_time_millis: 17.204, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 17.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.8208, kb_relative_information_score: -101.1388, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8916, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.9205, scimark_benchmark: 1864.1811, usercpu_time_millis: 5.53, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 5.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8962, kappa: 0.4684, kb_relative_information_score: 341.0977, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8973, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.7955, scimark_benchmark: 1869.1029, usercpu_time_millis: 4.875, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 4.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.8208, kb_relative_information_score: -3797.8707, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 2.1241, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4577, root_relative_squared_error: 1.3979, scimark_benchmark: 1876.7581, usercpu_time_millis: 14.901, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 14.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8208, kb_relative_information_score: -112.3053, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.9049, scimark_benchmark: 1878.3273, usercpu_time_millis: 1.277, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 1.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9011, kappa: 0.4993, kb_relative_information_score: 399.126, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9011, predictive_accuracy: 0.9108, prior_entropy: 0.5368, recall: 0.9108, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.7797, scimark_benchmark: 1741.2932, usercpu_time_millis: 14.801, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 14.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.8208, kb_relative_information_score: -76.7563, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.9796, scimark_benchmark: 1869.4343, usercpu_time_millis: 10.582, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 10.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8993, kappa: 0.4843, kb_relative_information_score: 363.3187, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9011, predictive_accuracy: 0.9108, prior_entropy: 0.5368, recall: 0.9108, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.7904, scimark_benchmark: 1874.4489, usercpu_time_millis: 10.593, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 10.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8856, kappa: 0.3944, kb_relative_information_score: 201.8372, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8971, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.8415, scimark_benchmark: 2041.2138, usercpu_time_millis: 25.742, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 25.732,

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