Task
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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12568 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8385, kappa: 0.6458, kb_relative_information_score: 1229.8708, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8371, predictive_accuracy: 0.8403, prior_entropy: 1.2099, recall: 0.8403, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.6711, scimark_benchmark: 921.8102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8385, kappa: 0.6458, kb_relative_information_score: 1229.8708, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8371, predictive_accuracy: 0.8403, prior_entropy: 1.2099, recall: 0.8403, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.6711, scimark_benchmark: 945.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9664, kappa: 0.9272, kb_relative_information_score: 1582.2925, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9669, predictive_accuracy: 0.9664, prior_entropy: 1.2099, recall: 0.9664, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.3464, scimark_benchmark: 928.3614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5768, kb_relative_information_score: 167.6977, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9244, scimark_benchmark: 934.6513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 1699.1016, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 1.2099, recall: 0.9936, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1518, scimark_benchmark: 919.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9556, kappa: 0.9038, kb_relative_information_score: 1527.6722, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9565, predictive_accuracy: 0.9554, prior_entropy: 1.2099, recall: 0.9554, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.4278, scimark_benchmark: 897.3179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.93, kappa: 0.8493, kb_relative_information_score: 1417.0909, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9326, predictive_accuracy: 0.93, prior_entropy: 1.2099, recall: 0.93, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.4813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9855, kappa: 0.9685, kb_relative_information_score: 1655.4001, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9857, predictive_accuracy: 0.9855, prior_entropy: 1.2099, recall: 0.9855, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.2312, scimark_benchmark: 904.1598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9168, kappa: 0.8199, kb_relative_information_score: 1212.5772, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9183, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.5392, scimark_benchmark: 941.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8985, kappa: 0.7783, kb_relative_information_score: 1313.2351, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8982, predictive_accuracy: 0.8987, prior_entropy: 1.2099, recall: 0.8987, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.5654, scimark_benchmark: 919.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.5768, kb_relative_information_score: 393.525, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.1398, scimark_benchmark: 862.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 863.2534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9499, kappa: 0.8923, kb_relative_information_score: 1258.8563, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9512, predictive_accuracy: 0.9502, prior_entropy: 1.2099, recall: 0.9502, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.4912, scimark_benchmark: 936.6542,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8985, kappa: 0.7783, kb_relative_information_score: 1313.2351, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8982, predictive_accuracy: 0.8987, prior_entropy: 1.2099, recall: 0.8987, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.5654, scimark_benchmark: 933.2215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7131, kappa: 0.367, kb_relative_information_score: -222.8027, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6808, predictive_accuracy: 0.7541, prior_entropy: 1.2099, recall: 0.7541, relative_absolute_error: 1.1809, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9896, kappa: 0.9773, kb_relative_information_score: 1679.4871, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 1.2099, recall: 0.9896, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.1925, scimark_benchmark: 949.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9838, kappa: 0.9646, kb_relative_information_score: 1641.1587, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9839, predictive_accuracy: 0.9838, prior_entropy: 1.2099, recall: 0.9838, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2556, scimark_benchmark: 934.3338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5768, kb_relative_information_score: 1.9656, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, scimark_benchmark: 912.9445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9786, kappa: 0.9533, kb_relative_information_score: 1616.3267, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9787, predictive_accuracy: 0.9786, prior_entropy: 1.2099, recall: 0.9786, relative_absolute_error: 0.0539, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.2848, scimark_benchmark: 949.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9448, kappa: 0.8797, kb_relative_information_score: 1527.1337, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9454, predictive_accuracy: 0.9444, prior_entropy: 1.2099, recall: 0.9444, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4681, scimark_benchmark: 924.8774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9441, kappa: 0.8801, kb_relative_information_score: 1425.7583, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9451, predictive_accuracy: 0.945, prior_entropy: 1.2099, recall: 0.945, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.4816, scimark_benchmark: 943.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1700.2576, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 1.2099, recall: 0.9948, relative_absolute_error: 0.0115, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.051, root_relative_squared_error: 0.151, scimark_benchmark: 945.8388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9931, kappa: 0.9849, kb_relative_information_score: 1685.0851, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9932, predictive_accuracy: 0.9931, prior_entropy: 1.2099, recall: 0.9931, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1511, scimark_benchmark: 941.7663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9262, kappa: 0.8418, kb_relative_information_score: 1168.4964, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9311, predictive_accuracy: 0.9259, prior_entropy: 1.2099, recall: 0.9259, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.183, root_relative_squared_error: 0.5411, scimark_benchmark: 946.1153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9462, kappa: 0.8835, kb_relative_information_score: 1338.2231, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9471, predictive_accuracy: 0.9462, prior_entropy: 1.2099, recall: 0.9462, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.4698, scimark_benchmark: 943.8976,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7131, kappa: 0.367, kb_relative_information_score: -222.8027, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6808, predictive_accuracy: 0.7541, prior_entropy: 1.2099, recall: 0.7541, relative_absolute_error: 1.1809, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9775, scimark_benchmark: 903.2774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9931, kappa: 0.9848, kb_relative_information_score: 1693.5597, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 1.2099, recall: 0.9931, relative_absolute_error: 0.0151, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1623, scimark_benchmark: 945.7526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9943, kappa: 0.9874, kb_relative_information_score: 1689.6878, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9944, predictive_accuracy: 0.9942, prior_entropy: 1.2099, recall: 0.9942, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.1635, scimark_benchmark: 947.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.8253, kappa: 0.6231, kb_relative_information_score: 1045.6281, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8427, predictive_accuracy: 0.849, prior_entropy: 1.2099, recall: 0.849, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.658, scimark_benchmark: 940.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8407, kappa: 0.6915, kb_relative_information_score: 781.456, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8438, predictive_accuracy: 0.864, prior_entropy: 1.2099, recall: 0.864, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.7153, scimark_benchmark: 941.6175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9403, kappa: 0.8704, kb_relative_information_score: -11.1345, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9412, predictive_accuracy: 0.9398, prior_entropy: 1.2099, recall: 0.9398, relative_absolute_error: 1.1206, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9443, scimark_benchmark: 936.7396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9344, kappa: 0.8569, kb_relative_information_score: 1458.5453, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.935, predictive_accuracy: 0.934, prior_entropy: 1.2099, recall: 0.934, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4468, scimark_benchmark: 941.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.5768, kb_relative_information_score: 284.9635, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.8818, scimark_benchmark: 903.5549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8385, kappa: 0.6458, kb_relative_information_score: 1229.8708, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8371, predictive_accuracy: 0.8403, prior_entropy: 1.2099, recall: 0.8403, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.6711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9678, kappa: 0.9298, kb_relative_information_score: 1592.5548, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9683, predictive_accuracy: 0.9676, prior_entropy: 1.2099, recall: 0.9676, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.3423, scimark_benchmark: 930.1723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9943, kappa: 0.9874, kb_relative_information_score: 1655.6943, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9946, predictive_accuracy: 0.9942, prior_entropy: 1.2099, recall: 0.9942, relative_absolute_error: 0.0578, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0564, root_relative_squared_error: 0.1668, scimark_benchmark: 913.4648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9392, kappa: 0.8766, kb_relative_information_score: 1088.9231, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9463, predictive_accuracy: 0.945, prior_entropy: 1.2099, recall: 0.945, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.196, root_relative_squared_error: 0.5797, scimark_benchmark: 938.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9832, kappa: 0.9634, kb_relative_information_score: 1586.6719, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 1.2099, recall: 0.9832, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.2665, scimark_benchmark: 946.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9296, kappa: 0.8606, kb_relative_information_score: 1087.2144, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9405, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.5831, scimark_benchmark: 942.5439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.899, kappa: 0.7794, kb_relative_information_score: 1311.1126, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8995, predictive_accuracy: 0.8993, prior_entropy: 1.2099, recall: 0.8993, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.188, root_relative_squared_error: 0.5562, scimark_benchmark: 916.7367,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.927, kappa: 0.8433, kb_relative_information_score: 1356.2644, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9305, predictive_accuracy: 0.9271, prior_entropy: 1.2099, recall: 0.9271, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.166, root_relative_squared_error: 0.4909, scimark_benchmark: 944.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9522, kappa: 0.8974, kb_relative_information_score: 1259.9938, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9538, predictive_accuracy: 0.9525, prior_entropy: 1.2099, recall: 0.9525, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.4907, scimark_benchmark: 929.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9782, kappa: 0.9523, kb_relative_information_score: 1597.3934, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9785, predictive_accuracy: 0.978, prior_entropy: 1.2099, recall: 0.978, relative_absolute_error: 0.0951, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.096, root_relative_squared_error: 0.2838, scimark_benchmark: 947.2765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9913, kappa: 0.981, kb_relative_information_score: 1684.2486, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 1.2099, recall: 0.9913, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.1918, scimark_benchmark: 944.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.5768, kb_relative_information_score: -268.1323, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.989, scimark_benchmark: 897.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.899, kappa: 0.7794, kb_relative_information_score: 1311.1126, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8995, predictive_accuracy: 0.8993, prior_entropy: 1.2099, recall: 0.8993, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.188, root_relative_squared_error: 0.5562, scimark_benchmark: 914.9472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.5768, kb_relative_information_score: 367.9153, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.9332, scimark_benchmark: 855.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8506, kappa: 0.6753, kb_relative_information_score: 1015.2768, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8534, predictive_accuracy: 0.8571, prior_entropy: 1.2099, recall: 0.8571, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.6701, scimark_benchmark: 945.2798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9856, kappa: 0.9684, kb_relative_information_score: 1659.1375, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9856, predictive_accuracy: 0.9855, prior_entropy: 1.2099, recall: 0.9855, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2502, scimark_benchmark: 875.2519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1655.5767, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9951, predictive_accuracy: 0.9948, prior_entropy: 1.2099, recall: 0.9948, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.167, scimark_benchmark: 908.7241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 920.6561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9276, kappa: 0.8431, kb_relative_information_score: 1420.9858, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9286, predictive_accuracy: 0.9277, prior_entropy: 1.2099, recall: 0.9277, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.5162, scimark_benchmark: 917.4619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.6994, kappa: 0.3242, kb_relative_information_score: -27.5986, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6684, predictive_accuracy: 0.7477, prior_entropy: 1.2099, recall: 0.7477, relative_absolute_error: 1.041, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.9441, scimark_benchmark: 947.3504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.5768, kb_relative_information_score: 265.845, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8875, scimark_benchmark: 898.3782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9943, kappa: 0.9874, kb_relative_information_score: 1689.6878, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9944, predictive_accuracy: 0.9942, prior_entropy: 1.2099, recall: 0.9942, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.1635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9709, kappa: 0.9372, kb_relative_information_score: 1584.9401, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9715, predictive_accuracy: 0.9711, prior_entropy: 1.2099, recall: 0.9711, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.3544, scimark_benchmark: 817.1074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.6723, kappa: 0.26, kb_relative_information_score: 436.903, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6405, predictive_accuracy: 0.7413, prior_entropy: 1.2099, recall: 0.7413, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.274, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.5768, kb_relative_information_score: 662.8748, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.7877, scimark_benchmark: 893.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9641, kappa: 0.9222, kb_relative_information_score: 1569.369, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9646, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.3731, scimark_benchmark: 634.7409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9812, kappa: 0.9588, kb_relative_information_score: 1604.319, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9817, predictive_accuracy: 0.9809, prior_entropy: 1.2099, recall: 0.9809, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.2617, scimark_benchmark: 596.2592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1698.1304, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 1.2099, recall: 0.9948, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.1468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9943, kappa: 0.9874, kb_relative_information_score: 1689.6878, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9944, predictive_accuracy: 0.9942, prior_entropy: 1.2099, recall: 0.9942, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.1635, scimark_benchmark: 949.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.5768, kb_relative_information_score: 663.018, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.7873, scimark_benchmark: 946.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.5768, kb_relative_information_score: 392.2551, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3837, root_relative_squared_error: 1.1349, scimark_benchmark: 595.6985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.8888, kappa: 0.7505, kb_relative_information_score: 1240.1805, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8927, predictive_accuracy: 0.8941, prior_entropy: 1.2099, recall: 0.8941, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.6806, scimark_benchmark: 894.5909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.573, f_measure: 0.5684, kappa: 0.1117, kb_relative_information_score: -0.7281, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.5927, predictive_accuracy: 0.5637, prior_entropy: 1.2099, recall: 0.5637, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.3815, scimark_benchmark: 928.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9919, kappa: 0.9823, kb_relative_information_score: 1684.3115, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 1.2099, recall: 0.9919, relative_absolute_error: 0.0172, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.1748, scimark_benchmark: 895.7544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.6723, kappa: 0.26, kb_relative_information_score: 436.903, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6405, predictive_accuracy: 0.7413, prior_entropy: 1.2099, recall: 0.7413, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.274, root_relative_squared_error: 0.8104, scimark_benchmark: 945.3904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9908, kappa: 0.9798, kb_relative_information_score: 1686.2536, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9908, predictive_accuracy: 0.9907, prior_entropy: 1.2099, recall: 0.9907, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.1831, scimark_benchmark: 946.2269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9874, kappa: 0.9722, kb_relative_information_score: 1579.0076, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9876, predictive_accuracy: 0.9873, prior_entropy: 1.2099, recall: 0.9873, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.2496, scimark_benchmark: 946.2742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, build_cpu_time: 0.065, build_memory: 405584144.3519, f_measure: 0.9386, kappa: 0.8665, kb_relative_information_score: 1424.5487, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9398, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.449, scimark_benchmark: 948.6538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, build_cpu_time: 0.0995, build_memory: 806969641.4352, f_measure: 0.9397, kappa: 0.8692, kb_relative_information_score: 1419.0722, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.941, predictive_accuracy: 0.9392, prior_entropy: 1.2099, recall: 0.9392, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4496, scimark_benchmark: 937.4659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, build_cpu_time: 0.2385, build_memory: 844510878.9398, f_measure: 0.9384, kappa: 0.8661, kb_relative_information_score: 1417.1556, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9392, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.2235, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.4503, scimark_benchmark: 933.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, build_cpu_time: 0.2253, build_memory: 127679691.3194, f_measure: 0.9384, kappa: 0.8661, kb_relative_information_score: 1417.1556, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9392, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.2235, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.4503, scimark_benchmark: 933.2172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, build_cpu_time: 0.2145, build_memory: 103913816.6435, f_measure: 0.9384, kappa: 0.8661, kb_relative_information_score: 1417.1556, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9392, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.2235, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.4503, scimark_benchmark: 938.4908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, build_cpu_time: 0.16, build_memory: 145334827.662, f_measure: 0.9384, kappa: 0.8661, kb_relative_information_score: 1417.1556, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9392, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.2235, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.4503, scimark_benchmark: 911.5478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, build_cpu_time: 0.3821, build_memory: 175538337.5741, f_measure: 0.9414, kappa: 0.8725, kb_relative_information_score: 1417.353, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9423, predictive_accuracy: 0.941, prior_entropy: 1.2099, recall: 0.941, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4495, scimark_benchmark: 945.8455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 48.2943, build_memory: 371412407.088, f_measure: 0.9139, kappa: 0.8131, kb_relative_information_score: 1216.885, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.915, predictive_accuracy: 0.9138, prior_entropy: 1.2099, recall: 0.9138, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.5375, scimark_benchmark: 949.6881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, build_cpu_time: 22.8243, build_memory: 708755715.1481, f_measure: 0.9097, kappa: 0.8052, kb_relative_information_score: 1214.1755, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.911, predictive_accuracy: 0.9103, prior_entropy: 1.2099, recall: 0.9103, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.5392, scimark_benchmark: 930.4731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 608.6795, build_memory: 1049228795.4167, f_measure: 0.9833, kappa: 0.9634, kb_relative_information_score: 1585.7003, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 1.2099, recall: 0.9832, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.2654, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 0.0002, build_memory: 473006078.7454, f_measure: 0.8449, kappa: 0.6648, kb_relative_information_score: 1002.0086, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8496, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6708, scimark_benchmark: 1469.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 294.7724, build_memory: 1250650664.9444, f_measure: 0.9827, kappa: 0.9621, kb_relative_information_score: 1586.9719, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9827, predictive_accuracy: 0.9826, prior_entropy: 1.2099, recall: 0.9826, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.2648, scimark_benchmark: 944.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.966, kappa: 0.9263, kb_relative_information_score: 0.7832, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9667, predictive_accuracy: 0.9659, prior_entropy: 1.2058, recall: 0.9659, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.4152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 158.9342, build_memory: 342316611.6574, f_measure: 0.9838, kappa: 0.9647, kb_relative_information_score: 1586.3525, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9839, predictive_accuracy: 0.9838, prior_entropy: 1.2099, recall: 0.9838, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2662, scimark_benchmark: 946.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 84.5201, build_memory: 82367438.1852, f_measure: 0.9832, kappa: 0.9634, kb_relative_information_score: 1586.6489, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 1.2099, recall: 0.9832, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.2664, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 37.0997, build_memory: 1825930578.9306, f_measure: 0.9826, kappa: 0.9621, kb_relative_information_score: 1583.3912, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9828, predictive_accuracy: 0.9826, prior_entropy: 1.2099, recall: 0.9826, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2795, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, build_cpu_time: 0.0061, build_memory: 2690754486.9769, f_measure: 0.5768, kb_relative_information_score: 660.5075, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.7889, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, build_cpu_time: 0.0082, build_memory: 938379713.4676, f_measure: 0.5768, kb_relative_information_score: 663.018, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.7873, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, build_cpu_time: 0.0156, build_memory: 62757565.8657, f_measure: 0.5768, kb_relative_information_score: 662.8748, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.7877, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, build_cpu_time: 0.0309, build_memory: 2289457145.0324, f_measure: 0.5768, kb_relative_information_score: 662.2485, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.7879, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, build_cpu_time: 0.0516, build_memory: 790071014.7083, f_measure: 0.5768, kb_relative_information_score: 661.902, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.7881, scimark_benchmark: 1248.2043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 1341.8679, build_memory: 1038039918.9444, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1655.5767, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9951, predictive_accuracy: 0.9948, prior_entropy: 1.2099, recall: 0.9948, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.167, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.966, kappa: 0.9263, kb_relative_information_score: 0.7832, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9667, predictive_accuracy: 0.9659, prior_entropy: 1.2058, recall: 0.9659, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.4152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 571.1001, build_memory: 276567734.662, f_measure: 0.9954, kappa: 0.9899, kb_relative_information_score: 1655.2096, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9956, predictive_accuracy: 0.9954, prior_entropy: 1.2099, recall: 0.9954, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1675, scimark_benchmark: 902.1678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 0.1042, build_memory: 1055129785.7639, f_measure: 0.8386, kappa: 0.653, kb_relative_information_score: 997.7629, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8422, predictive_accuracy: 0.8495, prior_entropy: 1.2099, recall: 0.8495, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.6732, scimark_benchmark: 932.5791,

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