OpenML
Supervised Classification on Australian

Supervised Classification on Australian

Task 125923 Supervised Classification Australian 208614 runs submitted
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  • OpenML100 study_107 study_123 study_14
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208614 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.6365, kappa: 0.3007, kb_relative_information_score: 99.6142, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7302, predictive_accuracy: 0.6754, prior_entropy: 0.9913, recall: 0.6754, relative_absolute_error: 0.8785, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9246, scimark_benchmark: 1280.6916, usercpu_time_millis: 1.307, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8494, kappa: 0.6954, kb_relative_information_score: 377.1451, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8497, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6778, scimark_benchmark: 1314.8753, usercpu_time_millis: 0.802, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7382, kappa: 0.4702, kb_relative_information_score: 171.5843, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7519, predictive_accuracy: 0.7449, prior_entropy: 0.9913, recall: 0.7449, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.868, scimark_benchmark: 1294.9647, usercpu_time_millis: 1.243, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7912, kappa: 0.5772, kb_relative_information_score: 263.2051, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7912, predictive_accuracy: 0.7913, prior_entropy: 0.9913, recall: 0.7913, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8116, scimark_benchmark: 1282.7485, usercpu_time_millis: 1.331, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.837, kappa: 0.6692, kb_relative_information_score: 283.3395, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8378, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7615, scimark_benchmark: 1287.8616, usercpu_time_millis: 0.897, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8555, kappa: 0.71, kb_relative_information_score: 410.9983, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8606, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6785, scimark_benchmark: 1286.3617, usercpu_time_millis: 1.946, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7187, kappa: 0.4349, kb_relative_information_score: 151.1586, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7457, predictive_accuracy: 0.7304, prior_entropy: 0.9913, recall: 0.7304, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8762, scimark_benchmark: 1286.19, usercpu_time_millis: 1.137, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7455, kappa: 0.4851, kb_relative_information_score: 168.0485, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7601, predictive_accuracy: 0.7522, prior_entropy: 0.9913, recall: 0.7522, relative_absolute_error: 0.7928, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8688, scimark_benchmark: 1286.1543, usercpu_time_millis: 1.674, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8335, kappa: 0.6699, kb_relative_information_score: 362.5051, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8505, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7076, scimark_benchmark: 1284.2023, usercpu_time_millis: 2.144, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 2.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8073, kappa: 0.6089, kb_relative_information_score: 231.4289, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8146, predictive_accuracy: 0.8101, prior_entropy: 0.9913, recall: 0.8101, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8047, scimark_benchmark: 1319.58, usercpu_time_millis: 0.864, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.3725, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1293.8976, usercpu_time_millis: 55.159, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 55.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8526, kappa: 0.704, kb_relative_information_score: 414.7933, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6773, scimark_benchmark: 1291.9877, usercpu_time_millis: 1.932, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8184, kappa: 0.6312, kb_relative_information_score: 237.1057, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8228, predictive_accuracy: 0.8203, prior_entropy: 0.9913, recall: 0.8203, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7966, scimark_benchmark: 1318.1591, usercpu_time_millis: 0.884, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.861, kappa: 0.719, kb_relative_information_score: 422.1523, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8614, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6503, scimark_benchmark: 1316.7441, usercpu_time_millis: 1.048, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8339, kappa: 0.6629, kb_relative_information_score: 308.8004, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8351, predictive_accuracy: 0.8348, prior_entropy: 0.9913, recall: 0.8348, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7395, scimark_benchmark: 1297.1302, usercpu_time_millis: 0.883, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7761, kappa: 0.5453, kb_relative_information_score: 158.5968, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7791, predictive_accuracy: 0.7783, prior_entropy: 0.9913, recall: 0.7783, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8814, scimark_benchmark: 1312.9904, usercpu_time_millis: 2.267, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 2.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8479, kappa: 0.692, kb_relative_information_score: 388.1795, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8479, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6767, scimark_benchmark: 1314.6948, usercpu_time_millis: 0.937, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.9463, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1311.9301, usercpu_time_millis: 2.678, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 2.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4746, f_measure: 0.3936, kappa: -0.0116, kb_relative_information_score: -2.3016, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3067, predictive_accuracy: 0.5493, prior_entropy: 0.9913, recall: 0.5493, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0039, scimark_benchmark: 1318.1801, usercpu_time_millis: 2.455, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 2.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 370.0038, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.705, scimark_benchmark: 1292.4022, usercpu_time_millis: 1.259, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 1.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.6639, kappa: 0.3372, kb_relative_information_score: 118.3326, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7172, predictive_accuracy: 0.6884, prior_entropy: 0.9913, recall: 0.6884, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9089, scimark_benchmark: 1291.2286, usercpu_time_millis: 1.027, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8076, kappa: 0.6094, kb_relative_information_score: 205.5853, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8137, predictive_accuracy: 0.8101, prior_entropy: 0.9913, recall: 0.8101, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.816, scimark_benchmark: 1314.5009, usercpu_time_millis: 82.192, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 82.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7517, kappa: 0.4967, kb_relative_information_score: 194.6103, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7607, predictive_accuracy: 0.7565, prior_entropy: 0.9913, recall: 0.7565, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8567, scimark_benchmark: 1313.9462, usercpu_time_millis: 1.28, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7672, kappa: 0.5275, kb_relative_information_score: 270.4375, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7675, predictive_accuracy: 0.7681, prior_entropy: 0.9913, recall: 0.7681, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7986, scimark_benchmark: 1306.2746, usercpu_time_millis: 1.624, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 368.09, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7073, scimark_benchmark: 1290.3985, usercpu_time_millis: 1.379, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 1.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.3963, kb_relative_information_score: 0.0663, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1313.4546, usercpu_time_millis: 2.553, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 2.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8, kappa: 0.5951, kb_relative_information_score: 261.4306, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9913, recall: 0.8, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4, root_relative_squared_error: 0.805, scimark_benchmark: 1288.3633, usercpu_time_millis: 2.392, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 2.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8509, kappa: 0.6987, kb_relative_information_score: 402.9357, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8514, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6633, scimark_benchmark: 1289.7505, usercpu_time_millis: 1.133, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8468, kappa: 0.6926, kb_relative_information_score: 351.6837, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8519, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.708, scimark_benchmark: 1286.9367, usercpu_time_millis: 2.088, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 2.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.6606, kappa: 0.3389, kb_relative_information_score: 132.8067, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.737, predictive_accuracy: 0.6913, prior_entropy: 0.9913, recall: 0.6913, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8895, scimark_benchmark: 1284.4572, usercpu_time_millis: 1.344, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8445, kappa: 0.6847, kb_relative_information_score: 333.5186, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8448, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7173, scimark_benchmark: 1292.4328, usercpu_time_millis: 1.214, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 368.2933, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6964, scimark_benchmark: 1286.8078, usercpu_time_millis: 677.338, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 677.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.5992, kappa: 0.2445, kb_relative_information_score: 84.1164, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7206, predictive_accuracy: 0.6522, prior_entropy: 0.9913, recall: 0.6522, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9395, scimark_benchmark: 1282.7954, usercpu_time_millis: 1.409, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.3963, kb_relative_information_score: 0.0756, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1311.6654, usercpu_time_millis: 1.966, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8564, kappa: 0.7092, kb_relative_information_score: 376.9316, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8564, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6846, scimark_benchmark: 1292.3137, usercpu_time_millis: 1.121, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.3607, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1277.7838, usercpu_time_millis: 50.424, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 50.394,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7517, kappa: 0.4967, kb_relative_information_score: 194.613, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7607, predictive_accuracy: 0.7565, prior_entropy: 0.9913, recall: 0.7565, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8567, scimark_benchmark: 1289.5577, usercpu_time_millis: 1.123, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 1.097,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8534, kappa: 0.7028, kb_relative_information_score: 358.368, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8534, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6959, scimark_benchmark: 1278.6433, usercpu_time_millis: 1.177, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.759, kappa: 0.5164, kb_relative_information_score: 224.3695, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7926, predictive_accuracy: 0.7696, prior_entropy: 0.9913, recall: 0.7696, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8086, scimark_benchmark: 1306.9629, usercpu_time_millis: 1.205, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.6726, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1292.3928, usercpu_time_millis: 5.511, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 5.479,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 368.1352, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5095, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6965, scimark_benchmark: 1318.6702, usercpu_time_millis: 669.582, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 669.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.7731, kappa: 0.5396, kb_relative_information_score: 269.6005, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7733, predictive_accuracy: 0.7739, prior_entropy: 0.9913, recall: 0.7739, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.806, scimark_benchmark: 1295.7837, usercpu_time_millis: 1.438, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 423.733, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.322, root_relative_squared_error: 0.648, scimark_benchmark: 1297.4638, usercpu_time_millis: 1.827, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 411.8129, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8626, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6508, scimark_benchmark: 1288.5953, usercpu_time_millis: 1.821, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 416.5011, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6658, scimark_benchmark: 1279.4395, usercpu_time_millis: 1.152, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.114,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8555, kappa: 0.7098, kb_relative_information_score: 414.6554, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8601, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4201, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6769, scimark_benchmark: 1290.2894, usercpu_time_millis: 2.025, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 1.976,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.8022, kappa: 0.5983, kb_relative_information_score: 216.2822, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8065, predictive_accuracy: 0.8043, prior_entropy: 0.9913, recall: 0.8043, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8285, scimark_benchmark: 1304.1291, usercpu_time_millis: 1.428, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 381.3861, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6921, scimark_benchmark: 1310.7723, usercpu_time_millis: 0.783, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.752,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.6625, kappa: 0.3422, kb_relative_information_score: 135.5986, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7382, predictive_accuracy: 0.6928, prior_entropy: 0.9913, recall: 0.6928, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8872, scimark_benchmark: 1311.7689, usercpu_time_millis: 1.328, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.293,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8667, kappa: 0.7304, kb_relative_information_score: 427.6642, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8669, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6429, scimark_benchmark: 1294.9475, usercpu_time_millis: 1.133, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.3802, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1286.5537, usercpu_time_millis: 41.001, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 40.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8255, kappa: 0.6461, kb_relative_information_score: 345.6686, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7097, scimark_benchmark: 1314.5873, usercpu_time_millis: 2.56, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 2.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8448, kappa: 0.6855, kb_relative_information_score: 331.4519, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8448, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7205, scimark_benchmark: 1288.7304, usercpu_time_millis: 1.235, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 390.2316, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4711, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6879, scimark_benchmark: 1313.2025, usercpu_time_millis: 0.653, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8541, kappa: 0.707, kb_relative_information_score: 413.0029, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8589, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6777, scimark_benchmark: 1285.0519, usercpu_time_millis: 1.934, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8482, kappa: 0.6969, kb_relative_information_score: 413.2557, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8579, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6763, scimark_benchmark: 1311.4222, usercpu_time_millis: 2.08, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 2.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7272, kappa: 0.475, kb_relative_information_score: 153.6124, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7722, predictive_accuracy: 0.7304, prior_entropy: 0.9913, recall: 0.7304, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8795, scimark_benchmark: 1317.6427, usercpu_time_millis: 2.05, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 385.5887, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6901, scimark_benchmark: 1285.9697, usercpu_time_millis: 0.687, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 368.3582, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6964, scimark_benchmark: 1314.5107, usercpu_time_millis: 686.811, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 686.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.4669, kappa: 0.049, kb_relative_information_score: 43.5126, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5835, predictive_accuracy: 0.5696, prior_entropy: 0.9913, recall: 0.5696, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9685, scimark_benchmark: 1316.8467, usercpu_time_millis: 2.547, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 2.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 396.1635, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6739, scimark_benchmark: 1333.7941, usercpu_time_millis: 1.181, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.4562, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1281.4704, usercpu_time_millis: 18.969, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 18.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.3975, kappa: -0.0051, kb_relative_information_score: -0.7845, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4187, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0011, scimark_benchmark: 1315.809, usercpu_time_millis: 2.056, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 2.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3975, kappa: -0.0051, kb_relative_information_score: -0.7509, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4187, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0009, scimark_benchmark: 1295.8098, usercpu_time_millis: 2.04, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8449, kappa: 0.6859, kb_relative_information_score: 341.7219, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8449, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1316.3662, usercpu_time_millis: 1.291, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.6333, kappa: 0.2945, kb_relative_information_score: 96.431, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7255, predictive_accuracy: 0.6725, prior_entropy: 0.9913, recall: 0.6725, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9276, scimark_benchmark: 1316.719, usercpu_time_millis: 1.364, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.3949, kappa: -0.0058, kb_relative_information_score: -0.2659, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3074, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004, scimark_benchmark: 1315.0759, usercpu_time_millis: 1.998, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8496, kappa: 0.6962, kb_relative_information_score: 397.079, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8505, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.667, scimark_benchmark: 1280.638, usercpu_time_millis: 1.554, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 1.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.7935, kappa: 0.582, kb_relative_information_score: 262.4082, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.809, predictive_accuracy: 0.7986, prior_entropy: 0.9913, recall: 0.7986, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.774, scimark_benchmark: 1295.8115, usercpu_time_millis: 1.238, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.3949, kappa: -0.0058, kb_relative_information_score: 0.4889, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3074, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0005, scimark_benchmark: 1298.5219, usercpu_time_millis: 2.7, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 2.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.3936, kappa: -0.0116, kb_relative_information_score: -1.4802, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3067, predictive_accuracy: 0.5493, prior_entropy: 0.9913, recall: 0.5493, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0024, scimark_benchmark: 1285.2404, usercpu_time_millis: 2.096, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 2.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.6896, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1313.5519, usercpu_time_millis: 5.254, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 5.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8655, kappa: 0.7286, kb_relative_information_score: 426.4753, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.639, scimark_benchmark: 1316.15, usercpu_time_millis: 1.447, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.6242, kappa: 0.2805, kb_relative_information_score: 91.9083, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7228, predictive_accuracy: 0.6667, prior_entropy: 0.9913, recall: 0.6667, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9321, scimark_benchmark: 1281.1199, usercpu_time_millis: 1.66, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 1.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.6627, kappa: 0.329, kb_relative_information_score: 107.6464, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6998, predictive_accuracy: 0.6826, prior_entropy: 0.9913, recall: 0.6826, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9203, scimark_benchmark: 1314.3559, usercpu_time_millis: 1.216, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.6378, kappa: 0.2931, kb_relative_information_score: 90.7739, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.703, predictive_accuracy: 0.6696, prior_entropy: 0.9913, recall: 0.6696, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.94, scimark_benchmark: 1314.9702, usercpu_time_millis: 1.283, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 373.9622, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6996, scimark_benchmark: 1313.9968, usercpu_time_millis: 1.038, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 365.7238, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1315.4008, usercpu_time_millis: 1.807, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 1.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.3963, kb_relative_information_score: 0.0758, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1290.5061, usercpu_time_millis: 2.223, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 2.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.3516, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1314.2462, usercpu_time_millis: 62.807, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 62.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 363.1784, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7112, scimark_benchmark: 1293.7867, usercpu_time_millis: 283.973, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 283.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.9569, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1304.0133, usercpu_time_millis: 2.865, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 2.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.4212, kappa: 0.01, kb_relative_information_score: 20.1887, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.5436, predictive_accuracy: 0.5565, prior_entropy: 0.9913, recall: 0.5565, relative_absolute_error: 0.9746, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.49, root_relative_squared_error: 0.986, scimark_benchmark: 1290.7139, usercpu_time_millis: 2.838, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 2.788,

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