Task
Supervised Classification on autos

Supervised Classification on autos

Task 9 Supervised Classification autos 1382 runs submitted
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  • basic study_1 study_107 study_41 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8334, kappa: 0.784, kb_relative_information_score: 140.5788, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8348, predictive_accuracy: 0.8341, prior_entropy: 2.3268, recall: 0.8341, relative_absolute_error: 0.4134, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.5984, scimark_benchmark: 889.1553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.5821, kappa: 0.4401, kb_relative_information_score: 21.765, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6865, predictive_accuracy: 0.5951, prior_entropy: 2.3268, recall: 0.5951, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.9642, scimark_benchmark: 948.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.5377, kappa: 0.4163, kb_relative_information_score: 84.269, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5493, predictive_accuracy: 0.561, prior_entropy: 2.3268, recall: 0.561, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.8837, scimark_benchmark: 922.3657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.4501, kappa: 0.2928, kb_relative_information_score: 69.9025, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.4454, predictive_accuracy: 0.4683, prior_entropy: 2.3268, recall: 0.4683, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3898, root_relative_squared_error: 1.1748, scimark_benchmark: 948.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.7465, kappa: 0.6692, kb_relative_information_score: 37.9249, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7544, predictive_accuracy: 0.7463, prior_entropy: 2.3268, recall: 0.7463, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.7561, kappa: 0.6843, kb_relative_information_score: 37.5784, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7567, predictive_accuracy: 0.7561, prior_entropy: 2.3268, recall: 0.7561, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.9336, scimark_benchmark: 938.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.799, kappa: 0.7387, kb_relative_information_score: 149.6716, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8015, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.6986, scimark_benchmark: 947.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.7991, kappa: 0.7385, kb_relative_information_score: 148.6216, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.803, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.6965, scimark_benchmark: 937.8508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.799, kappa: 0.7387, kb_relative_information_score: 149.6716, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8015, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.6986, scimark_benchmark: 907.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.6589, kappa: 0.5273, kb_relative_information_score: 4.3199, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7095, predictive_accuracy: 0.6244, prior_entropy: 2.3268, recall: 0.6244, relative_absolute_error: 1.069, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3378, root_relative_squared_error: 1.0182, scimark_benchmark: 948.1727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8352, kappa: 0.783, kb_relative_information_score: 155.9479, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8412, predictive_accuracy: 0.8341, prior_entropy: 2.3268, recall: 0.8341, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.5987, scimark_benchmark: 946.2427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.5804, kappa: 0.4385, kb_relative_information_score: 21.1219, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7044, predictive_accuracy: 0.5951, prior_entropy: 2.3268, recall: 0.5951, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.9654, scimark_benchmark: 940.2542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.5432, kappa: 0.4273, kb_relative_information_score: 101.7446, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5612, predictive_accuracy: 0.5512, prior_entropy: 2.3268, recall: 0.5512, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.9574, scimark_benchmark: 946.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.4501, kappa: 0.2928, kb_relative_information_score: 69.9025, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.4454, predictive_accuracy: 0.4683, prior_entropy: 2.3268, recall: 0.4683, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3898, root_relative_squared_error: 1.1748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.5434, kappa: 0.4242, kb_relative_information_score: 91.9741, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5417, predictive_accuracy: 0.5561, prior_entropy: 2.3268, recall: 0.5561, relative_absolute_error: 0.6926, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.756, kappa: 0.6829, kb_relative_information_score: 37.5331, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7562, predictive_accuracy: 0.7561, prior_entropy: 2.3268, recall: 0.7561, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.9331, scimark_benchmark: 897.1565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.7611, kappa: 0.6896, kb_relative_information_score: 143.2236, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7624, predictive_accuracy: 0.761, prior_entropy: 2.3268, recall: 0.761, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.7118, scimark_benchmark: 947.2229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.783, kappa: 0.7214, kb_relative_information_score: 143.6212, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.79, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.6946, scimark_benchmark: 948.6973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.799, kappa: 0.7387, kb_relative_information_score: 149.6716, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8015, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.6986, scimark_benchmark: 920.0552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.161, kb_relative_information_score: 3.7986, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0145, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3328, root_relative_squared_error: 1.0031, scimark_benchmark: 945.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8246, kappa: 0.77, kb_relative_information_score: 157.6641, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8302, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.6342, scimark_benchmark: 944.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.5558, kappa: 0.4382, kb_relative_information_score: 95.3732, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5524, predictive_accuracy: 0.5659, prior_entropy: 2.3268, recall: 0.5659, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.8562, scimark_benchmark: 921.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.5813, kappa: 0.4382, kb_relative_information_score: 20.9835, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7103, predictive_accuracy: 0.5951, prior_entropy: 2.3268, recall: 0.5951, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.9657, scimark_benchmark: 946.7616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.6089, kappa: 0.491, kb_relative_information_score: 94.1681, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6116, predictive_accuracy: 0.6146, prior_entropy: 2.3268, recall: 0.6146, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.8342, scimark_benchmark: 947.4364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.7614, kappa: 0.691, kb_relative_information_score: 37.5288, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7631, predictive_accuracy: 0.761, prior_entropy: 2.3268, recall: 0.761, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.9329, scimark_benchmark: 946.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.6666, kappa: 0.569, kb_relative_information_score: 134.074, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6879, predictive_accuracy: 0.6683, prior_entropy: 2.3268, recall: 0.6683, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.7632, scimark_benchmark: 946.3802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.161, kb_relative_information_score: 3.7986, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0145, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3328, root_relative_squared_error: 1.0031, scimark_benchmark: 913.6601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.161, kb_relative_information_score: 0.2693, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 923.2252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.644, kappa: 0.5419, kb_relative_information_score: 103.3965, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6408, predictive_accuracy: 0.6488, prior_entropy: 2.3268, recall: 0.6488, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.8024, scimark_benchmark: 948.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.6387, kappa: 0.5355, kb_relative_information_score: 101.6237, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6351, predictive_accuracy: 0.6439, prior_entropy: 2.3268, recall: 0.6439, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.8133, scimark_benchmark: 929.1961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.6369, kappa: 0.5351, kb_relative_information_score: 100.8311, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6311, predictive_accuracy: 0.6439, prior_entropy: 2.3268, recall: 0.6439, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.8179, scimark_benchmark: 919.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.6083, kappa: 0.4922, kb_relative_information_score: 86.0219, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6107, predictive_accuracy: 0.6146, prior_entropy: 2.3268, recall: 0.6146, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.8502, scimark_benchmark: 918.7823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.6165, kappa: 0.5117, kb_relative_information_score: 98.0154, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6464, predictive_accuracy: 0.639, prior_entropy: 2.3268, recall: 0.639, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.8243, scimark_benchmark: 948.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.6643, kappa: 0.5677, kb_relative_information_score: 34.2605, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.664, predictive_accuracy: 0.6732, prior_entropy: 2.3268, recall: 0.6732, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.941, scimark_benchmark: 947.5933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.7407, kappa: 0.6626, kb_relative_information_score: 135.0769, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7448, predictive_accuracy: 0.7415, prior_entropy: 2.3268, recall: 0.7415, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7134, scimark_benchmark: 945.2806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, f_measure: 0.161, kb_relative_information_score: 0.2693, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 948.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.7608, kappa: 0.6902, kb_relative_information_score: 37.5307, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7616, predictive_accuracy: 0.761, prior_entropy: 2.3268, recall: 0.761, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.9327, scimark_benchmark: 947.1638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.7407, kappa: 0.6626, kb_relative_information_score: 135.0769, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7448, predictive_accuracy: 0.7415, prior_entropy: 2.3268, recall: 0.7415, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7134, scimark_benchmark: 948.5685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.6316, kappa: 0.4922, kb_relative_information_score: 54.8264, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6882, predictive_accuracy: 0.6049, prior_entropy: 2.3268, recall: 0.6049, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.8785, scimark_benchmark: 926.1861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8395, kappa: 0.7911, kb_relative_information_score: 152.0541, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8427, predictive_accuracy: 0.839, prior_entropy: 2.3268, recall: 0.839, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.5834, scimark_benchmark: 948.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.5756, kappa: 0.4633, kb_relative_information_score: 30.1549, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5868, predictive_accuracy: 0.6, prior_entropy: 2.3268, recall: 0.6, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.9505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.8049, kappa: 0.7453, kb_relative_information_score: 151.3778, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.807, predictive_accuracy: 0.8049, prior_entropy: 2.3268, recall: 0.8049, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.7001, scimark_benchmark: 948.2548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.6805, kappa: 0.5812, kb_relative_information_score: 125.1531, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6927, predictive_accuracy: 0.6732, prior_entropy: 2.3268, recall: 0.6732, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7812, scimark_benchmark: 948.8773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.6796, kappa: 0.5703, kb_relative_information_score: 28.3663, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7367, predictive_accuracy: 0.6829, prior_entropy: 2.3268, recall: 0.6829, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.949, scimark_benchmark: 949.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.6807, kappa: 0.5911, kb_relative_information_score: 123.3021, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6788, predictive_accuracy: 0.6878, prior_entropy: 2.3268, recall: 0.6878, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9002, scimark_benchmark: 929.0685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.8049, kappa: 0.7453, kb_relative_information_score: 151.3778, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.807, predictive_accuracy: 0.8049, prior_entropy: 2.3268, recall: 0.8049, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.7001, scimark_benchmark: 924.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.7085, kappa: 0.6198, kb_relative_information_score: 130.7609, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7132, predictive_accuracy: 0.7073, prior_entropy: 2.3268, recall: 0.7073, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.7479, scimark_benchmark: 946.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.6418, kappa: 0.5458, kb_relative_information_score: 112.9734, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6382, predictive_accuracy: 0.6537, prior_entropy: 2.3268, recall: 0.6537, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.7884, scimark_benchmark: 946.4808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 49.5079, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9392, scimark_benchmark: 947.7123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.7765, kappa: 0.7128, kb_relative_information_score: 143.9765, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.783, predictive_accuracy: 0.7805, prior_entropy: 2.3268, recall: 0.7805, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.7274, scimark_benchmark: 946.1723,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.6927, kappa: 0.6045, kb_relative_information_score: 94.3579, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6951, predictive_accuracy: 0.6976, prior_entropy: 2.3268, recall: 0.6976, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.7979, scimark_benchmark: 945.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.5869, kappa: 0.459, kb_relative_information_score: 99.774, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5979, predictive_accuracy: 0.5951, prior_entropy: 2.3268, recall: 0.5951, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.833, scimark_benchmark: 943.8246,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.6927, kappa: 0.6045, kb_relative_information_score: 94.3579, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6951, predictive_accuracy: 0.6976, prior_entropy: 2.3268, recall: 0.6976, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.7979, scimark_benchmark: 860.6141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.6328, kappa: 0.5265, kb_relative_information_score: 46.2034, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6409, predictive_accuracy: 0.6439, prior_entropy: 2.3268, recall: 0.6439, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.9353, scimark_benchmark: 944.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.799, kappa: 0.7387, kb_relative_information_score: 149.6716, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8015, predictive_accuracy: 0.8, prior_entropy: 2.3268, recall: 0.8, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.6986, scimark_benchmark: 913.8088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.6431, kappa: 0.5414, kb_relative_information_score: 104.3821, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6402, predictive_accuracy: 0.6488, prior_entropy: 2.3268, recall: 0.6488, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.797, scimark_benchmark: 947.5218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.7843, kappa: 0.7194, kb_relative_information_score: 135.3083, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7871, predictive_accuracy: 0.7854, prior_entropy: 2.3268, recall: 0.7854, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6595, scimark_benchmark: 943.5815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.6421, kappa: 0.5356, kb_relative_information_score: 112.7304, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6466, predictive_accuracy: 0.6439, prior_entropy: 2.3268, recall: 0.6439, relative_absolute_error: 0.5434, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.8106, scimark_benchmark: 931.4136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.5482, kappa: 0.4235, kb_relative_information_score: 39.6733, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5683, predictive_accuracy: 0.5463, prior_entropy: 2.3268, recall: 0.5463, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.9319, scimark_benchmark: 941.1307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8207, kappa: 0.7637, kb_relative_information_score: 140.8825, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8309, predictive_accuracy: 0.8195, prior_entropy: 2.3268, recall: 0.8195, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5978, scimark_benchmark: 940.6838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8239, kappa: 0.7705, kb_relative_information_score: 158.4855, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8262, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.213, root_relative_squared_error: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8439, kappa: 0.7968, kb_relative_information_score: 158.6084, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8445, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.6323, scimark_benchmark: 949.1901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.6735, kappa: 0.581, kb_relative_information_score: 106.3183, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7247, predictive_accuracy: 0.6878, prior_entropy: 2.3268, recall: 0.6878, relative_absolute_error: 0.5594, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.7931, scimark_benchmark: 942.6062,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.7563, kappa: 0.6842, kb_relative_information_score: 140.989, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7627, predictive_accuracy: 0.7561, prior_entropy: 2.3268, recall: 0.7561, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.7309, scimark_benchmark: 920.0794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8119, kappa: 0.7585, kb_relative_information_score: 135.8533, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8191, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.6261, scimark_benchmark: 946.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.4614, kappa: 0.3848, kb_relative_information_score: 54.1543, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.3999, predictive_accuracy: 0.5512, prior_entropy: 2.3268, recall: 0.5512, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8797, scimark_benchmark: 930.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8228, kappa: 0.7708, kb_relative_information_score: 128.127, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8267, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.7372, kappa: 0.6579, kb_relative_information_score: 137.8805, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7406, predictive_accuracy: 0.7366, prior_entropy: 2.3268, recall: 0.7366, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.8194, scimark_benchmark: 946.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.7563, kappa: 0.6842, kb_relative_information_score: 140.989, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7627, predictive_accuracy: 0.7561, prior_entropy: 2.3268, recall: 0.7561, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.7309, scimark_benchmark: 943.3145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.6688, kappa: 0.571, kb_relative_information_score: 66.5843, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6837, predictive_accuracy: 0.678, prior_entropy: 2.3268, recall: 0.678, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.298, root_relative_squared_error: 0.8981, scimark_benchmark: 941.0084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8065, kappa: 0.7514, kb_relative_information_score: 144.6184, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8118, predictive_accuracy: 0.8098, prior_entropy: 2.3268, recall: 0.8098, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.6307, scimark_benchmark: 892.7711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.3359, kappa: 0.2203, kb_relative_information_score: 47.9554, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2667, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.9337, scimark_benchmark: 945.2635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7403, kappa: 0.6606, kb_relative_information_score: 134.7304, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7502, predictive_accuracy: 0.7366, prior_entropy: 2.3268, recall: 0.7366, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.8126, scimark_benchmark: 934.8491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.5088, kappa: 0.4319, kb_relative_information_score: 64.167, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6839, predictive_accuracy: 0.5854, prior_entropy: 2.3268, recall: 0.5854, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.8747, scimark_benchmark: 926.3297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8187, kappa: 0.7639, kb_relative_information_score: 157.5754, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.821, predictive_accuracy: 0.8195, prior_entropy: 2.3268, recall: 0.8195, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.6495, scimark_benchmark: 886.6112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8039, kappa: 0.7452, kb_relative_information_score: 154.7156, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8054, predictive_accuracy: 0.8049, prior_entropy: 2.3268, recall: 0.8049, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.7107, scimark_benchmark: 876.3093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.7055, kappa: 0.6261, kb_relative_information_score: 35.505, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7026, predictive_accuracy: 0.7122, prior_entropy: 2.3268, recall: 0.7122, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9391, scimark_benchmark: 916.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7403, kappa: 0.6606, kb_relative_information_score: 134.7304, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7502, predictive_accuracy: 0.7366, prior_entropy: 2.3268, recall: 0.7366, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.8126, scimark_benchmark: 941.4933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8398, kappa: 0.7964, kb_relative_information_score: 137.3472, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8383, predictive_accuracy: 0.8439, prior_entropy: 2.3268, recall: 0.8439, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5977, scimark_benchmark: 936.7287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.6471, kappa: 0.5182, kb_relative_information_score: 55.3518, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6989, predictive_accuracy: 0.6293, prior_entropy: 2.3268, recall: 0.6293, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8744, scimark_benchmark: 923.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8578, kappa: 0.8152, kb_relative_information_score: 139.9442, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8591, predictive_accuracy: 0.8585, prior_entropy: 2.3268, recall: 0.8585, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.5891, scimark_benchmark: 944.8853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8139, kappa: 0.7581, kb_relative_information_score: 155.8102, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8161, predictive_accuracy: 0.8146, prior_entropy: 2.3268, recall: 0.8146, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.6648, scimark_benchmark: 932.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.6927, kappa: 0.6045, kb_relative_information_score: 94.3579, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6951, predictive_accuracy: 0.6976, prior_entropy: 2.3268, recall: 0.6976, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.7979, scimark_benchmark: 862.2373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8229, kappa: 0.7707, kb_relative_information_score: 127.663, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8262, predictive_accuracy: 0.8244, prior_entropy: 2.3268, recall: 0.8244, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.211, root_relative_squared_error: 0.6361, scimark_benchmark: 924.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.3353, kappa: 0.2158, kb_relative_information_score: 11.7394, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.2683, predictive_accuracy: 0.4537, prior_entropy: 2.3268, recall: 0.4537, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.327, root_relative_squared_error: 0.9858, scimark_benchmark: 907.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8299, kappa: 0.7758, kb_relative_information_score: 160.6667, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8391, predictive_accuracy: 0.8293, prior_entropy: 2.3268, recall: 0.8293, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.6504, scimark_benchmark: 920.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7144, kappa: 0.6324, kb_relative_information_score: 130.7322, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7143, predictive_accuracy: 0.7171, prior_entropy: 2.3268, recall: 0.7171, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7814, scimark_benchmark: 908.5604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8537, kappa: 0.8101, kb_relative_information_score: 162.4138, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8547, predictive_accuracy: 0.8537, prior_entropy: 2.3268, recall: 0.8537, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.6047, scimark_benchmark: 941.1645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.702, kappa: 0.6199, kb_relative_information_score: 35.1426, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.7009, predictive_accuracy: 0.7073, prior_entropy: 2.3268, recall: 0.7073, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.9402, scimark_benchmark: 945.1181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.5922, kappa: 0.4699, kb_relative_information_score: 98.2411, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6057, predictive_accuracy: 0.6049, prior_entropy: 2.3268, recall: 0.6049, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.8357, scimark_benchmark: 882.7758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.6449, kappa: 0.5537, kb_relative_information_score: 125.7929, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.648, predictive_accuracy: 0.6537, prior_entropy: 2.3268, recall: 0.6537, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.8537, scimark_benchmark: 935.8053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.4836, kappa: 0.3844, kb_relative_information_score: 64.8126, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.5137, predictive_accuracy: 0.5561, prior_entropy: 2.3268, recall: 0.5561, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.8724, scimark_benchmark: 940.5364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.6449, kappa: 0.5537, kb_relative_information_score: 125.7929, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.648, predictive_accuracy: 0.6537, prior_entropy: 2.3268, recall: 0.6537, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.8537, scimark_benchmark: 899.2881,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.495, kappa: 0.3939, kb_relative_information_score: 64.8964, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.6667, predictive_accuracy: 0.561, prior_entropy: 2.3268, recall: 0.561, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.8726, scimark_benchmark: 934.7436,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

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

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

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