Task
Supervised Classification on sonar

Supervised Classification on sonar

Task 39 Supervised Classification sonar 915 runs submitted
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  • basic 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: 0.867, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 78.898, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7806, scimark_benchmark: 1988.1864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7829, kappa: 0.5634, kb_relative_information_score: 80.7453, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.784, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7674, scimark_benchmark: 946.1027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7207, kappa: 0.4383, kb_relative_information_score: 75.8966, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7208, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9488, scimark_benchmark: 910.9097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 949.3604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7064, kappa: 0.4096, kb_relative_information_score: 76.3542, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7063, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9657, scimark_benchmark: 921.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7207, kappa: 0.4383, kb_relative_information_score: 75.8966, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7208, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9488, scimark_benchmark: 910.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.8605, kappa: 0.7197, kb_relative_information_score: 149.6135, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8605, predictive_accuracy: 0.8606, prior_entropy: 0.9968, recall: 0.8606, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7485, scimark_benchmark: 947.6768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7246, kappa: 0.4462, kb_relative_information_score: 69.6317, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7261, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8291, scimark_benchmark: 948.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.6232, kappa: 0.3128, kb_relative_information_score: 71.111, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7973, predictive_accuracy: 0.6731, prior_entropy: 0.9968, recall: 0.6731, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5718, root_relative_squared_error: 1.1461, scimark_benchmark: 947.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 921.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 944.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8594, kappa: 0.7175, kb_relative_information_score: 149.1767, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8652, predictive_accuracy: 0.8606, prior_entropy: 0.9968, recall: 0.8606, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7347, scimark_benchmark: 945.7053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979, scimark_benchmark: 945.1556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7594, kappa: 0.5164, kb_relative_information_score: 107.3429, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7594, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9828, scimark_benchmark: 946.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8306, kappa: 0.6595, kb_relative_information_score: 117.7252, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8343, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7086, scimark_benchmark: 948.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.7357, kappa: 0.4691, kb_relative_information_score: 97.2785, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7358, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0308, scimark_benchmark: 945.7421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 942.1151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979, scimark_benchmark: 906.0899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8296, kappa: 0.6582, kb_relative_information_score: 84.659, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8391, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7266, scimark_benchmark: 931.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.715, kappa: 0.4268, kb_relative_information_score: 65.5521, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7163, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8693, scimark_benchmark: 946.5133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8455, kappa: 0.6893, kb_relative_information_score: 143.5748, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8474, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7862, scimark_benchmark: 903.7134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8459, kappa: 0.6901, kb_relative_information_score: 143.5748, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8463, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7862, scimark_benchmark: 948.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.7017, kappa: 0.4004, kb_relative_information_score: 75.6451, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7016, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9734, scimark_benchmark: 944.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.6436, kappa: 0.2834, kb_relative_information_score: 58.1592, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6435, predictive_accuracy: 0.6442, prior_entropy: 0.9968, recall: 0.6442, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.9832, scimark_benchmark: 945.9126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.6393, kappa: 0.2751, kb_relative_information_score: 55.3639, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6392, predictive_accuracy: 0.6394, prior_entropy: 0.9968, recall: 0.6394, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9846, scimark_benchmark: 947.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8559, kappa: 0.7114, kb_relative_information_score: 138.0364, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8575, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7108, scimark_benchmark: 914.0542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.8262, kappa: 0.6505, kb_relative_information_score: 135.5233, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.828, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8339, scimark_benchmark: 914.4314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.8601, kappa: 0.7186, kb_relative_information_score: 149.6135, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8616, predictive_accuracy: 0.8606, prior_entropy: 0.9968, recall: 0.8606, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 924.8625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.6879, kappa: 0.375, kb_relative_information_score: 69.5835, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6898, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.0326, scimark_benchmark: 946.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6969, kappa: 0.4282, kb_relative_information_score: 93.2527, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8189, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0494, scimark_benchmark: 916.5154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8214, kappa: 0.6454, kb_relative_information_score: 135.5233, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8542, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8339, scimark_benchmark: 947.7573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.6682, kappa: 0.3331, kb_relative_information_score: 66.9003, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6681, predictive_accuracy: 0.6683, prior_entropy: 0.9968, recall: 0.6683, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9599, scimark_benchmark: 922.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.6775, kappa: 0.3516, kb_relative_information_score: 69.8441, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6774, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9554, scimark_benchmark: 937.5573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.6975, kappa: 0.3942, kb_relative_information_score: 81.9713, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6994, predictive_accuracy: 0.6971, prior_entropy: 0.9968, recall: 0.6971, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5473, root_relative_squared_error: 1.0971, scimark_benchmark: 903.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 947.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.826, kappa: 0.65, kb_relative_information_score: 135.8276, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8289, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3457, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7648, scimark_benchmark: 948.0585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.7953, kappa: 0.5895, kb_relative_information_score: 80.1707, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8051, predictive_accuracy: 0.7981, prior_entropy: 0.9968, recall: 0.7981, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.756, scimark_benchmark: 945.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8696, kappa: 0.7377, kb_relative_information_score: 153.6392, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8723, predictive_accuracy: 0.8702, prior_entropy: 0.9968, recall: 0.8702, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7222, scimark_benchmark: 944.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7455, kappa: 0.4904, kb_relative_information_score: 101.3042, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7475, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0119, scimark_benchmark: 930.4371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.7923, kappa: 0.5822, kb_relative_information_score: 78.0349, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7943, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7711, scimark_benchmark: 891.3987,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.7064, kappa: 0.4096, kb_relative_information_score: 85.2012, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7063, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.0855, scimark_benchmark: 917.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.855, kappa: 0.7083, kb_relative_information_score: 147.2028, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8582, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7505, scimark_benchmark: 947.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8119, kappa: 0.6216, kb_relative_information_score: 127.7975, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8131, predictive_accuracy: 0.8125, prior_entropy: 0.9968, recall: 0.8125, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8709, scimark_benchmark: 930.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8552, kappa: 0.7087, kb_relative_information_score: 146.4656, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8572, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7573, scimark_benchmark: 943.0123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8701, kappa: 0.739, kb_relative_information_score: 150.1841, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8701, predictive_accuracy: 0.8702, prior_entropy: 0.9968, recall: 0.8702, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.6985, scimark_benchmark: 944.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8119, kappa: 0.6216, kb_relative_information_score: 129.9904, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8131, predictive_accuracy: 0.8125, prior_entropy: 0.9968, recall: 0.8125, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8526, scimark_benchmark: 938.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.793, kappa: 0.5838, kb_relative_information_score: 121.9038, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7931, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.8918, scimark_benchmark: 898.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8506, kappa: 0.6996, kb_relative_information_score: 138.3013, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8513, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7345, scimark_benchmark: 943.0501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.7007, kappa: 0.398, kb_relative_information_score: 59.6601, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7016, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.8898, scimark_benchmark: 947.3401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4039, f_measure: 0.3535, kappa: -0.1985, kb_relative_information_score: -6.6248, mean_absolute_error: 0.5089, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.3369, predictive_accuracy: 0.4279, prior_entropy: 0.9968, recall: 0.4279, relative_absolute_error: 1.0224, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7686, kappa: 0.5345, kb_relative_information_score: 110.5156, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8652, scimark_benchmark: 944.1236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8847, kappa: 0.7688, kb_relative_information_score: 152.4328, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8855, predictive_accuracy: 0.8846, prior_entropy: 0.9968, recall: 0.8846, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6736, scimark_benchmark: 900.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.817, kappa: 0.632, kb_relative_information_score: 126.1509, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8173, predictive_accuracy: 0.8173, prior_entropy: 0.9968, recall: 0.8173, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8195, scimark_benchmark: 946.7737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.6868, kappa: 0.3701, kb_relative_information_score: 75.86, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6869, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0376, scimark_benchmark: 938.0856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8703, kappa: 0.7397, kb_relative_information_score: 145.6485, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8708, predictive_accuracy: 0.8702, prior_entropy: 0.9968, recall: 0.8702, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7178, scimark_benchmark: 946.6917,

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