Task
Supervised Classification on wilt

Supervised Classification on wilt

Task 9914 Supervised Classification wilt 299149 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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299149 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9819, kappa: 0.8209, kb_relative_information_score: 3382.7517, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9818, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.5512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9749, kappa: 0.7611, kb_relative_information_score: 2696.065, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9759, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.6414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9778, kappa: 0.7829, kb_relative_information_score: 2996.7509, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 0.3037, recall: 0.9777, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.6081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.977, kappa: 0.7732, kb_relative_information_score: 2913.7217, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9769, predictive_accuracy: 0.9771, prior_entropy: 0.3037, recall: 0.9771, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.6123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.9792, kappa: 0.7932, kb_relative_information_score: 3395.793, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.979, predictive_accuracy: 0.9795, prior_entropy: 0.3037, recall: 0.9795, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.5929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9806, kappa: 0.806, kb_relative_information_score: 3254.7901, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9804, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.979, kappa: 0.7884, kb_relative_information_score: 3177.227, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9787, predictive_accuracy: 0.9795, prior_entropy: 0.3037, recall: 0.9795, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.5805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9742, kappa: 0.7381, kb_relative_information_score: 2673.2546, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9738, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.147, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9794, kappa: 0.7949, kb_relative_information_score: 3105.8694, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.9797, prior_entropy: 0.3037, recall: 0.9797, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.5775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9805, kappa: 0.8057, kb_relative_information_score: 3238.3924, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9803, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.5673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9765, kappa: 0.77, kb_relative_information_score: 2951.1945, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9765, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.9715, kappa: 0.7008, kb_relative_information_score: 2515.0827, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9717, predictive_accuracy: 0.9735, prior_entropy: 0.3037, recall: 0.9735, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.9684, kappa: 0.674, kb_relative_information_score: 2201.4885, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9678, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.7329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9765, kappa: 0.77, kb_relative_information_score: 2951.1945, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9765, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9765, kappa: 0.7749, kb_relative_information_score: 2718.2753, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9772, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.6282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9742, kappa: 0.7381, kb_relative_information_score: 2673.2546, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9738, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.147, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9819, kappa: 0.8209, kb_relative_information_score: 3409.0514, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9818, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.5482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.9696, kappa: 0.6831, kb_relative_information_score: 2371.7638, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9695, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.7107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.9671, kappa: 0.6754, kb_relative_information_score: 2181.4931, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9669, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.7243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.977, kappa: 0.766, kb_relative_information_score: 2985.0016, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9768, predictive_accuracy: 0.9779, prior_entropy: 0.3037, recall: 0.9779, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.6141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9739, kappa: 0.7333, kb_relative_information_score: 2653.5789, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9735, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.6561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.9803, kappa: 0.8028, kb_relative_information_score: 3223.3197, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9801, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.5737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.974, kappa: 0.7325, kb_relative_information_score: 2647.2956, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9739, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.3986, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.6594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9742, kappa: 0.7381, kb_relative_information_score: 2673.2546, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9738, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.147, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9807, kappa: 0.8082, kb_relative_information_score: 3244.9492, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9805, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9742, kappa: 0.7381, kb_relative_information_score: 2673.2546, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9738, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.147, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9778, kappa: 0.7837, kb_relative_information_score: 2966.5094, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9779, predictive_accuracy: 0.9777, prior_entropy: 0.3037, recall: 0.9777, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.6054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9739, kappa: 0.7333, kb_relative_information_score: 2653.5789, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9735, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.6561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.967, kappa: 0.6708, kb_relative_information_score: 2173.9712, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9665, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.9705, kappa: 0.6902, kb_relative_information_score: 2450.8077, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9727, prior_entropy: 0.3037, recall: 0.9727, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.7001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9765, kappa: 0.7741, kb_relative_information_score: 2839.7127, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9771, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.6276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9765, kappa: 0.77, kb_relative_information_score: 2951.1945, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9765, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.9742, kappa: 0.7381, kb_relative_information_score: 2673.2546, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9738, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.147, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9809, kappa: 0.8099, kb_relative_information_score: 3375.6196, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.5741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.9712, kappa: 0.6999, kb_relative_information_score: 2498.5878, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9712, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.6887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.9828, kappa: 0.829, kb_relative_information_score: 3386.1139, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.977, kappa: 0.7732, kb_relative_information_score: 2913.7217, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9769, predictive_accuracy: 0.9771, prior_entropy: 0.3037, recall: 0.9771, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.6123,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9819, kappa: 0.8209, kb_relative_information_score: 3382.7517, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9818, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.5512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9765, kappa: 0.77, kb_relative_information_score: 2951.1945, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9765, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.9749, kappa: 0.7428, kb_relative_information_score: 2750.9539, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9746, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.3716, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.6526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.9736, kappa: 0.7264, kb_relative_information_score: 2647.2019, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9736, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.6672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9765, kappa: 0.7741, kb_relative_information_score: 2836.8506, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9771, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.6282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9805, kappa: 0.8072, kb_relative_information_score: 3122.1006, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9804, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.128, root_relative_squared_error: 0.5667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9778, kappa: 0.7837, kb_relative_information_score: 2966.5094, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9779, predictive_accuracy: 0.9777, prior_entropy: 0.3037, recall: 0.9777, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.6054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9737, kappa: 0.7301, kb_relative_information_score: 2634.3345, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9734, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.982, kappa: 0.822, kb_relative_information_score: 3451.5908, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9819, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.5574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.9671, kappa: 0.6754, kb_relative_information_score: 2181.4931, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9669, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.7243,

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