OpenML
Supervised Classification on haberman

Supervised Classification on haberman

Task 42 Supervised Classification haberman 973 runs submitted
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  • basic ComplexWorkflows mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5432, f_measure: 0.6697, kappa: 0.1026, kb_relative_information_score: 51.5652, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6582, predictive_accuracy: 0.7059, prior_entropy: 0.836, recall: 0.7059, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.2293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6059, f_measure: 0.7032, kappa: 0.218, kb_relative_information_score: 14.9273, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6969, predictive_accuracy: 0.7124, prior_entropy: 0.836, recall: 0.7124, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.9808, scimark_benchmark: 943.5535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5299, f_measure: 0.6612, kappa: 0.0817, kb_relative_information_score: 79.7448, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6921, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.159, scimark_benchmark: 910.1514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.6756, kappa: 0.1151, kb_relative_information_score: 19.3825, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6713, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.435, root_relative_squared_error: 0.986, scimark_benchmark: 910.5098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.6779, kappa: 0.1212, kb_relative_information_score: 13.6552, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6757, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9803, scimark_benchmark: 908.0199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.6889, kappa: 0.1526, kb_relative_information_score: 71.2909, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.686, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.1805, scimark_benchmark: 944.2557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6974, kappa: 0.1741, kb_relative_information_score: 25.6337, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7147, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9646, scimark_benchmark: 946.6832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.6868, kappa: 0.1485, kb_relative_information_score: 8.495, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6803, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9904, scimark_benchmark: 948.1886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6281, f_measure: 0.6633, kappa: 0.0851, kb_relative_information_score: 14.3059, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6826, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4431, root_relative_squared_error: 1.0043, scimark_benchmark: 924.5731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.7144, kappa: 0.232, kb_relative_information_score: 30.8348, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7084, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.969, scimark_benchmark: 917.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5505, f_measure: 0.6652, kappa: 0.0883, kb_relative_information_score: 6.818, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6762, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9945, scimark_benchmark: 939.0388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 940.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.6779, kappa: 0.1212, kb_relative_information_score: 12.6308, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6757, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.9811, scimark_benchmark: 921.0556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 948.7672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.6739, kappa: 0.1117, kb_relative_information_score: 60.0191, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6659, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5332, root_relative_squared_error: 1.2086, scimark_benchmark: 945.4199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.6549, kappa: 0.1171, kb_relative_information_score: 2.8695, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6563, predictive_accuracy: 0.6536, prior_entropy: 0.836, recall: 0.6536, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5873, root_relative_squared_error: 1.3311, scimark_benchmark: 947.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.6364, kappa: 0.0208, kb_relative_information_score: 0.628, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6421, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4415, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 937.1178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.6364, kappa: 0.0208, kb_relative_information_score: 0.628, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6421, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4415, root_relative_squared_error: 1.0007, scimark_benchmark: 915.6985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.6231, kb_relative_information_score: 0.5009, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4412, root_relative_squared_error: 1, scimark_benchmark: 943.8693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5397, f_measure: 0.638, kappa: 0.0718, kb_relative_information_score: -10.2493, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6387, predictive_accuracy: 0.6373, prior_entropy: 0.836, recall: 0.6373, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5982, root_relative_squared_error: 1.3558, scimark_benchmark: 943.1553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.7037, kappa: 0.1975, kb_relative_information_score: 24.4879, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6985, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4492, root_relative_squared_error: 1.0183, scimark_benchmark: 944.8723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 916.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 945.8051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.677, kappa: 0.1294, kb_relative_information_score: 48.7472, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.666, predictive_accuracy: 0.7026, prior_entropy: 0.836, recall: 0.7026, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.2361, scimark_benchmark: 932.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.7037, kappa: 0.192, kb_relative_information_score: 33.5527, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.71, predictive_accuracy: 0.7451, prior_entropy: 0.836, recall: 0.7451, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.428, root_relative_squared_error: 0.9701, scimark_benchmark: 950.1687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5689, f_measure: 0.694, kappa: 0.1668, kb_relative_information_score: 74.1089, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6919, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.1734, scimark_benchmark: 910.2648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.543, f_measure: 0.6738, kappa: 0.1098, kb_relative_information_score: 71.2909, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6763, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.1805, scimark_benchmark: 920.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.713, kappa: 0.2242, kb_relative_information_score: 25.3963, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7086, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4628, root_relative_squared_error: 1.0489, scimark_benchmark: 945.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.6779, kappa: 0.1212, kb_relative_information_score: 13.4382, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6757, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.9807, scimark_benchmark: 945.0429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.684, kappa: 0.1376, kb_relative_information_score: 18.4886, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.695, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9765, scimark_benchmark: 947.0561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.6725, kappa: 0.1064, kb_relative_information_score: 4.1299, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6688, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.452, root_relative_squared_error: 1.0245, scimark_benchmark: 915.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.7009, kappa: 0.2036, kb_relative_information_score: 18.7425, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.693, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4853, root_relative_squared_error: 1.1, scimark_benchmark: 947.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.6527, kappa: 0.0587, kb_relative_information_score: 74.1089, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6693, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.1734, scimark_benchmark: 908.9462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.6829, kappa: 0.1352, kb_relative_information_score: 82.5628, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.701, predictive_accuracy: 0.7418, prior_entropy: 0.836, recall: 0.7418, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.1517, scimark_benchmark: 947.2005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, f_measure: 0.692, kappa: 0.1617, kb_relative_information_score: 11.6477, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7356, predictive_accuracy: 0.7549, prior_entropy: 0.836, recall: 0.7549, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.9819, scimark_benchmark: 910.6398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 949.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.6231, kb_relative_information_score: 0.5009, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4412, root_relative_squared_error: 1, scimark_benchmark: 948.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.6966, kappa: 0.1747, kb_relative_information_score: 16.4448, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6935, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.9734, scimark_benchmark: 903.7493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.6756, kappa: 0.1151, kb_relative_information_score: 3.9741, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6713, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.997, scimark_benchmark: 946.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.7125, kappa: 0.2251, kb_relative_information_score: 27.5492, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7068, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9744, scimark_benchmark: 945.1103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.7188, kappa: 0.2325, kb_relative_information_score: 42.3481, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7378, predictive_accuracy: 0.7614, prior_entropy: 0.836, recall: 0.7614, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9873, scimark_benchmark: 946.2039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.7137, kappa: 0.2328, kb_relative_information_score: 24.4693, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7071, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4607, root_relative_squared_error: 1.0442, scimark_benchmark: 946.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.7009, kappa: 0.2036, kb_relative_information_score: 18.7425, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.693, predictive_accuracy: 0.7157, prior_entropy: 0.836, recall: 0.7157, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4853, root_relative_squared_error: 1.1, scimark_benchmark: 945.5252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.6441, kappa: 0.0788, kb_relative_information_score: 5.1177, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6414, predictive_accuracy: 0.6471, prior_entropy: 0.836, recall: 0.6471, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4831, root_relative_squared_error: 1.095, scimark_benchmark: 949.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, f_measure: 0.6566, kappa: 0.0634, kb_relative_information_score: 9.8987, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6518, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.0215, scimark_benchmark: 911.5415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 947.8305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, f_measure: 0.6844, kappa: 0.1425, kb_relative_information_score: 9.8843, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6767, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4427, root_relative_squared_error: 1.0034, scimark_benchmark: 946.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.6756, kappa: 0.1151, kb_relative_information_score: 3.9741, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6713, predictive_accuracy: 0.7222, prior_entropy: 0.836, recall: 0.7222, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.997, scimark_benchmark: 923.5062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.6492, kappa: 0.0885, kb_relative_information_score: -0.591, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6453, predictive_accuracy: 0.6536, prior_entropy: 0.836, recall: 0.6536, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5289, root_relative_squared_error: 1.1989, scimark_benchmark: 937.7598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.6369, kappa: 0.027, kb_relative_information_score: 12.1137, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6219, predictive_accuracy: 0.6601, prior_entropy: 0.836, recall: 0.6601, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.583, root_relative_squared_error: 1.3214, scimark_benchmark: 915.6423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.7062, kappa: 0.1984, kb_relative_information_score: 23.4622, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7151, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4866, root_relative_squared_error: 1.103, scimark_benchmark: 919.3126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.6809, kappa: 0.1298, kb_relative_information_score: 12.7712, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6779, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.9809, scimark_benchmark: 909.2813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.6799, kappa: 0.1302, kb_relative_information_score: 18.683, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7207, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.978, scimark_benchmark: 885.6906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.6529, kappa: 0.0562, kb_relative_information_score: 68.473, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.656, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.1876, scimark_benchmark: 904.4947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.6231, kb_relative_information_score: 0.5009, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4412, root_relative_squared_error: 1, scimark_benchmark: 912.4093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.6987, kappa: 0.1854, kb_relative_information_score: 8.4877, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6917, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4601, root_relative_squared_error: 1.0428, scimark_benchmark: 943.8048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 925.2433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5501, f_measure: 0.6815, kappa: 0.1328, kb_relative_information_score: 85.3808, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7092, predictive_accuracy: 0.7451, prior_entropy: 0.836, recall: 0.7451, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.1444, scimark_benchmark: 942.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.713, kappa: 0.2242, kb_relative_information_score: 25.3963, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7086, predictive_accuracy: 0.7386, prior_entropy: 0.836, recall: 0.7386, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4628, root_relative_squared_error: 1.0489, scimark_benchmark: 948.4826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.6716, kappa: 0.1076, kb_relative_information_score: 82.5628, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7016, predictive_accuracy: 0.7418, prior_entropy: 0.836, recall: 0.7418, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.1517, scimark_benchmark: 910.5589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 899.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, f_measure: 0.6818, kappa: 0.1344, kb_relative_information_score: 12.9756, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6744, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0539, scimark_benchmark: 946.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.6231, kb_relative_information_score: -0.3553, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4412, root_relative_squared_error: 1.0001, scimark_benchmark: 915.1049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.7074, kappa: 0.2131, kb_relative_information_score: 12.0697, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7004, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.9721, scimark_benchmark: 937.8619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7074, kappa: 0.2131, kb_relative_information_score: 13.8806, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7004, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.429, root_relative_squared_error: 0.9723, scimark_benchmark: 950.4309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6974, kappa: 0.1741, kb_relative_information_score: 25.6337, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7147, predictive_accuracy: 0.7484, prior_entropy: 0.836, recall: 0.7484, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9646, scimark_benchmark: 2013.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.7152, kappa: 0.2472, kb_relative_information_score: 21.8264, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.709, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9775, scimark_benchmark: 2022.6841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 76.9269, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 2009.4652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7293, kappa: 0.2696, kb_relative_information_score: 33.3516, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7267, predictive_accuracy: 0.7516, prior_entropy: 0.836, recall: 0.7516, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.9534, scimark_benchmark: 2017.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.6215, kappa: -0.0065, kb_relative_information_score: 74.1089, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.54, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.1734, scimark_benchmark: 1932.6715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.6694, kappa: 0.1291, kb_relative_information_score: 21.9596, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6618, predictive_accuracy: 0.6797, prior_entropy: 0.836, recall: 0.6797, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.561, root_relative_squared_error: 1.2716, scimark_benchmark: 2011.5288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.739, kappa: 0.3014, kb_relative_information_score: 25.256, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.7348, predictive_accuracy: 0.7549, prior_entropy: 0.836, recall: 0.7549, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.9663, scimark_benchmark: 1995.3663,

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