OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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66544 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9918, kappa: 0.9681, kb_relative_information_score: 5759.9116, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.6204, recall: 0.9918, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.2705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -9529.5734, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.5774, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4117, root_relative_squared_error: 1.1402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9956, kappa: 0.983, kb_relative_information_score: 6193.7444, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.6204, recall: 0.9956, relative_absolute_error: 0.0675, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9948, kappa: 0.9802, kb_relative_information_score: -3912.0442, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.6204, recall: 0.9948, relative_absolute_error: 1.1129, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.976, kappa: 0.906, kb_relative_information_score: 5067.4883, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9764, predictive_accuracy: 0.9765, prior_entropy: 0.6204, recall: 0.9765, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.4008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.991, kappa: 0.9653, kb_relative_information_score: 5834.6452, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.991, predictive_accuracy: 0.9911, prior_entropy: 0.6204, recall: 0.9911, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -7501.5753, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.3751, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -11487.522, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.796, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9962, kappa: 0.9854, kb_relative_information_score: 6385.0358, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.6204, recall: 0.9962, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9925, kappa: 0.9712, kb_relative_information_score: 5887.8855, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.6204, recall: 0.9926, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.2469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9805, kappa: 0.9241, kb_relative_information_score: 4847.9711, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 0.6204, recall: 0.9809, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.4192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9951, kappa: 0.9812, kb_relative_information_score: 5997.5438, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.6204, recall: 0.9952, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.2219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: 6488.6234, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 0.0153, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.1253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9839, kappa: 0.9374, kb_relative_information_score: 5372.9442, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.984, predictive_accuracy: 0.9841, prior_entropy: 0.6204, recall: 0.9841, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9947, kappa: 0.9795, kb_relative_information_score: 6160.8565, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.6204, recall: 0.9947, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6503.5145, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0347, root_relative_squared_error: 0.0961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9755, kappa: 0.9043, kb_relative_information_score: 5268.189, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9759, predictive_accuracy: 0.9761, prior_entropy: 0.6204, recall: 0.9761, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.3855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9495, kappa: 0.7967, kb_relative_information_score: -6933.3745, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9524, predictive_accuracy: 0.9523, prior_entropy: 0.6204, recall: 0.9523, relative_absolute_error: 1.3615, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3631, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9962, kappa: 0.9854, kb_relative_information_score: 6068.7306, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.6204, recall: 0.9962, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.2067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9532, kappa: 0.8149, kb_relative_information_score: 2564.3137, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9538, predictive_accuracy: 0.9548, prior_entropy: 0.6204, recall: 0.9548, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.6136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9853, kappa: 0.9432, kb_relative_information_score: 5798.8168, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9854, predictive_accuracy: 0.9855, prior_entropy: 0.6204, recall: 0.9855, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -11058.1987, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.7459, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4555, root_relative_squared_error: 1.2614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9774, kappa: 0.9117, kb_relative_information_score: 5324.6663, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9778, predictive_accuracy: 0.9779, prior_entropy: 0.6204, recall: 0.9779, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: -5794.4205, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 1.2258, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2638.8874, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.7903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6529.8848, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0371, root_relative_squared_error: 0.1028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: -10624.6939, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 1.6972, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.443, root_relative_squared_error: 1.2268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9887, kappa: 0.9563, kb_relative_information_score: 5532.178, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9887, predictive_accuracy: 0.9888, prior_entropy: 0.6204, recall: 0.9888, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.3137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -11143.6271, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.7564, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: -8378.7946, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 1.4642, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3834, root_relative_squared_error: 1.0618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8451, kappa: 0.3221, kb_relative_information_score: -11087.8417, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8946, predictive_accuracy: 0.8797, prior_entropy: 0.6204, recall: 0.8797, relative_absolute_error: 1.7528, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.458, root_relative_squared_error: 1.2684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9889, kb_relative_information_score: 6216.1232, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.6204, recall: 0.9971, relative_absolute_error: 0.0662, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.065, root_relative_squared_error: 0.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: 6178.5823, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 0.0772, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.1774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: -5437.8569, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 1.2136, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9953, kb_relative_information_score: 6497.3023, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0331, root_relative_squared_error: 0.0916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.8904, kappa: 0.5313, kb_relative_information_score: 2540.2535, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9168, predictive_accuracy: 0.9077, prior_entropy: 0.6204, recall: 0.9077, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.984, kappa: 0.938, kb_relative_information_score: 5542.1304, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 0.6204, recall: 0.9842, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.121, root_relative_squared_error: 0.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5166, kb_relative_information_score: -26.1587, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 4207.1381, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.894, kappa: 0.5487, kb_relative_information_score: 2858.4274, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9162, predictive_accuracy: 0.9097, prior_entropy: 0.6204, recall: 0.9097, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.7702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 5959.0569, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.7915, kappa: 0.0742, kb_relative_information_score: 357.7524, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8746, predictive_accuracy: 0.8528, prior_entropy: 0.6204, recall: 0.8528, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: -5028.268, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 1.1702, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9847, kappa: 0.9407, kb_relative_information_score: 5439.8534, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9847, predictive_accuracy: 0.9848, prior_entropy: 0.6204, recall: 0.9848, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9959, kappa: 0.9842, kb_relative_information_score: 6265.0874, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.6204, recall: 0.9959, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.1805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.989, kappa: 0.9574, kb_relative_information_score: 5668.5818, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.6204, recall: 0.9891, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.998, kappa: 0.9924, kb_relative_information_score: 6493.9667, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.0175, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.1199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9928, kappa: 0.9724, kb_relative_information_score: 5954.0083, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.6204, recall: 0.9929, relative_absolute_error: 0.1139, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.2325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -7806.4699, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.4034, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3666, root_relative_squared_error: 1.0154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9945, kappa: 0.9788, kb_relative_information_score: -4344.6068, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.6204, recall: 0.9945, relative_absolute_error: 1.1069, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: -7082.7582, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 1.3469, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.9779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9828, kappa: 0.9331, kb_relative_information_score: 5202.3748, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 0.6204, recall: 0.983, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.3671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9918, kappa: 0.9682, kb_relative_information_score: 5889.2031, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.6204, recall: 0.9918, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.2496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9938, kappa: 0.976, kb_relative_information_score: 5932.8768, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.6204, recall: 0.9938, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.2329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.987, kappa: 0.9497, kb_relative_information_score: 5549.3398, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9871, predictive_accuracy: 0.9871, prior_entropy: 0.6204, recall: 0.9871, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.3216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9957, kappa: 0.9836, kb_relative_information_score: 6042.3065, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9957, predictive_accuracy: 0.9958, prior_entropy: 0.6204, recall: 0.9958, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.2107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9977, kappa: 0.9913, kb_relative_information_score: 6468.5991, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9865, kappa: 0.9476, kb_relative_information_score: 5327.8841, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9866, predictive_accuracy: 0.9867, prior_entropy: 0.6204, recall: 0.9867, relative_absolute_error: 0.2152, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.3487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9867, kappa: 0.9483, kb_relative_information_score: 5535.6799, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 0.6204, recall: 0.9868, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.116, root_relative_squared_error: 0.3214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6506.4659, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.1125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9889, kb_relative_information_score: -4184.3703, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.6204, recall: 0.9971, relative_absolute_error: 1.0935, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.7946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9968, kappa: 0.9878, kb_relative_information_score: 6266.7898, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.6204, recall: 0.9968, relative_absolute_error: 0.0569, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9781, kappa: 0.9144, kb_relative_information_score: 5324.1461, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9784, predictive_accuracy: 0.9785, prior_entropy: 0.6204, recall: 0.9785, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.3699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9243, kappa: 0.6855, kb_relative_information_score: -8008.8216, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9352, predictive_accuracy: 0.9319, prior_entropy: 0.6204, recall: 0.9319, relative_absolute_error: 1.4507, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3841, root_relative_squared_error: 1.0636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -7485.0151, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.3735, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.359, root_relative_squared_error: 0.9943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9901, kappa: 0.9616, kb_relative_information_score: 5774.9574, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.6204, recall: 0.9901, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9792, kappa: 0.9189, kb_relative_information_score: 5305.4306, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9794, predictive_accuracy: 0.9795, prior_entropy: 0.6204, recall: 0.9795, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.133, root_relative_squared_error: 0.3684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9965, kappa: 0.9866, kb_relative_information_score: 6212.6435, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.6204, recall: 0.9965, relative_absolute_error: 0.0659, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0659, root_relative_squared_error: 0.1825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -9329.9178, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.558, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4068, root_relative_squared_error: 1.1265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: 6520.6775, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.047, root_relative_squared_error: 0.1301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 4046.416, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6280.6181, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.1489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, kb_relative_information_score: -2704.5868, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0673, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.987, kappa: 0.9495, kb_relative_information_score: 5612.891, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9871, predictive_accuracy: 0.9871, prior_entropy: 0.6204, recall: 0.9871, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.3154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: 6270.3301, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9879, kappa: 0.9528, kb_relative_information_score: -4725.3312, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 0.6204, recall: 0.988, relative_absolute_error: 1.1423, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9861, kappa: 0.946, kb_relative_information_score: 5448.1373, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9861, predictive_accuracy: 0.9862, prior_entropy: 0.6204, recall: 0.9862, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.3244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: -4879.6232, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 1.143, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9724, kappa: 0.8916, kb_relative_information_score: 5154.0505, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9729, predictive_accuracy: 0.973, prior_entropy: 0.6204, recall: 0.973, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9885, kappa: 0.9551, kb_relative_information_score: -11483.8755, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9888, predictive_accuracy: 0.9886, prior_entropy: 0.6204, recall: 0.9886, relative_absolute_error: 1.7965, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4687, root_relative_squared_error: 1.2981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9861, kappa: 0.946, kb_relative_information_score: 5439.8537, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.6204, recall: 0.9862, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.3301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9892, kappa: 0.9582, kb_relative_information_score: 5624.3297, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.6204, recall: 0.9892, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9925, kappa: 0.9712, kb_relative_information_score: 6005.0943, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.6204, recall: 0.9926, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.2307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9879, kappa: 0.9533, kb_relative_information_score: 5543.3595, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.6204, recall: 0.988, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.113, root_relative_squared_error: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9674, kappa: 0.8708, kb_relative_information_score: 4502.3049, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9686, predictive_accuracy: 0.9685, prior_entropy: 0.6204, recall: 0.9685, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9777, kb_relative_information_score: 6111.6624, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.6204, recall: 0.9942, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.2025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9924, kappa: 0.9706, kb_relative_information_score: 6021.7678, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.6204, recall: 0.9924, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.2384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9879, kappa: 0.9532, kb_relative_information_score: 5603.1358, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.6204, recall: 0.988, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.2983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: -9601.2081, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 1.5858, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.414, root_relative_squared_error: 1.1465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: -11713.7519, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 1.8232, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.3172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9918, kb_relative_information_score: -4499.2671, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 1.1169, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9948, kappa: 0.9801, kb_relative_information_score: 6113.0933, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.6204, recall: 0.9948, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.2015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9879, kappa: 0.9531, kb_relative_information_score: 5649.7962, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.6204, recall: 0.988, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9947, kb_relative_information_score: -9469.6045, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 1.5764, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9881, kappa: 0.9538, kb_relative_information_score: 5721.666, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9881, predictive_accuracy: 0.9882, prior_entropy: 0.6204, recall: 0.9882, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: -8087.807, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 1.4415, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.0462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6466.3152, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0232, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.039, root_relative_squared_error: 0.1081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9956, kappa: 0.9831, kb_relative_information_score: 6309.0081, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.6204, recall: 0.9956, relative_absolute_error: 0.0436, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.1703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: -10459.9651, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 1.6783, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4379, root_relative_squared_error: 1.2129,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs