Task
Supervised Classification on audiology

Supervised Classification on audiology

Task 7 Supervised Classification audiology 6189 runs submitted
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  • basic study_1 study_107 study_41 study_73 under100k under1m
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6189 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 61.1895, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2112, root_relative_squared_error: 1.1158, scimark_benchmark: 1972.2234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.7615, kappa: 0.7498, kb_relative_information_score: 145.4293, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7516, predictive_accuracy: 0.7876, prior_entropy: 3.6349, recall: 0.7876, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.124, root_relative_squared_error: 0.6549, scimark_benchmark: 1851.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.7717, kappa: 0.7609, kb_relative_information_score: 17.6178, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7536, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 1.0599, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1934, root_relative_squared_error: 1.0218, scimark_benchmark: 1956.8958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.4858, kappa: 0.4623, kb_relative_information_score: 110.0625, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.5123, predictive_accuracy: 0.5575, prior_entropy: 3.6349, recall: 0.5575, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.8007, scimark_benchmark: 948.6244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.4699, kappa: 0.45, kb_relative_information_score: 104.4557, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.5136, predictive_accuracy: 0.5487, prior_entropy: 3.6349, recall: 0.5487, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.8156, scimark_benchmark: 947.1968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.7397, kappa: 0.7264, kb_relative_information_score: 155.3635, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7385, predictive_accuracy: 0.7655, prior_entropy: 3.6349, recall: 0.7655, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.6431, scimark_benchmark: 930.3634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.6854, kappa: 0.7002, kb_relative_information_score: 11.4622, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.6635, predictive_accuracy: 0.7522, prior_entropy: 3.6349, recall: 0.7522, relative_absolute_error: 1.0637, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1942, root_relative_squared_error: 1.0256, scimark_benchmark: 903.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.3391, kappa: 0.2249, kb_relative_information_score: 7.9966, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.5088, predictive_accuracy: 0.3894, prior_entropy: 3.6349, recall: 0.3894, relative_absolute_error: 1.0691, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1952, root_relative_squared_error: 1.031, scimark_benchmark: 947.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, f_measure: 0.3245, kappa: 0.1996, kb_relative_information_score: 7.6452, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.494, predictive_accuracy: 0.3717, prior_entropy: 3.6349, recall: 0.3717, relative_absolute_error: 1.0695, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1952, root_relative_squared_error: 1.0313, scimark_benchmark: 949.7162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4539, f_measure: 0.1016, kb_relative_information_score: 4.5513, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.0636, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 1.0721, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1957, root_relative_squared_error: 1.0339, scimark_benchmark: 945.5587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 61.1895, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2112, root_relative_squared_error: 1.1158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4728, f_measure: 0.1016, kb_relative_information_score: 5.8064, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.0636, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 1.0716, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1956, root_relative_squared_error: 1.0334, scimark_benchmark: 946.0594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.829, kappa: 0.809, kb_relative_information_score: 167.8727, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.827, predictive_accuracy: 0.8363, prior_entropy: 3.6349, recall: 0.8363, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.5905, scimark_benchmark: 947.1476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.5649, kappa: 0.5726, kb_relative_information_score: 116.3878, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.5321, predictive_accuracy: 0.646, prior_entropy: 3.6349, recall: 0.646, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.769, scimark_benchmark: 948.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.7732, kappa: 0.761, kb_relative_information_score: 17.6178, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7561, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 1.0599, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1934, root_relative_squared_error: 1.0218, scimark_benchmark: 946.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.7647, kappa: 0.7528, kb_relative_information_score: 160.1083, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7536, predictive_accuracy: 0.7876, prior_entropy: 3.6349, recall: 0.7876, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.6277, scimark_benchmark: 924.1602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.828, kappa: 0.8141, kb_relative_information_score: 170.762, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.8221, predictive_accuracy: 0.8407, prior_entropy: 3.6349, recall: 0.8407, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.5514, scimark_benchmark: 949.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4528, f_measure: 0.1031, kappa: 0.0058, kb_relative_information_score: 2.0982, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.0648, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.9995, scimark_benchmark: 945.4204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.828, kappa: 0.8141, kb_relative_information_score: 170.762, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.8221, predictive_accuracy: 0.8407, prior_entropy: 3.6349, recall: 0.8407, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.5514, scimark_benchmark: 945.2723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.6406, kappa: 0.6244, kb_relative_information_score: 133.5272, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.659, predictive_accuracy: 0.6858, prior_entropy: 3.6349, recall: 0.6858, relative_absolute_error: 0.4438, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.7121, scimark_benchmark: 947.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.765, kappa: 0.7529, kb_relative_information_score: 160.5444, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7556, predictive_accuracy: 0.7876, prior_entropy: 3.6349, recall: 0.7876, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.6266, scimark_benchmark: 931.7873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.7459, kappa: 0.7335, kb_relative_information_score: 13.524, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7444, predictive_accuracy: 0.7743, prior_entropy: 3.6349, recall: 0.7743, relative_absolute_error: 1.0621, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1939, root_relative_squared_error: 1.0241, scimark_benchmark: 950.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.4779, kappa: 0.4613, kb_relative_information_score: 107.9297, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.5161, predictive_accuracy: 0.5575, prior_entropy: 3.6349, recall: 0.5575, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.8052, scimark_benchmark: 946.3195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.6838, kappa: 0.666, kb_relative_information_score: 116.1692, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.6775, predictive_accuracy: 0.7212, prior_entropy: 3.6349, recall: 0.7212, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.7297, scimark_benchmark: 948.6796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.765, kappa: 0.7529, kb_relative_information_score: 160.5444, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7556, predictive_accuracy: 0.7876, prior_entropy: 3.6349, recall: 0.7876, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.6266, scimark_benchmark: 914.3552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.828, kappa: 0.8141, kb_relative_information_score: 170.762, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.8221, predictive_accuracy: 0.8407, prior_entropy: 3.6349, recall: 0.8407, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.5514, scimark_benchmark: 945.8789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.7793, kappa: 0.767, kb_relative_information_score: 15.8004, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7675, predictive_accuracy: 0.8009, prior_entropy: 3.6349, recall: 0.8009, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1936, root_relative_squared_error: 1.0228, scimark_benchmark: 946.6773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.739, kappa: 0.7348, kb_relative_information_score: 147.3515, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7308, predictive_accuracy: 0.7743, prior_entropy: 3.6349, recall: 0.7743, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.6381, scimark_benchmark: 947.2102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4121, f_measure: 0.1016, kb_relative_information_score: -0.0953, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.0636, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1895, root_relative_squared_error: 1.001, scimark_benchmark: 926.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.7793, kappa: 0.767, kb_relative_information_score: 15.8004, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7675, predictive_accuracy: 0.8009, prior_entropy: 3.6349, recall: 0.8009, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1936, root_relative_squared_error: 1.0228, scimark_benchmark: 947.5868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.6575, kappa: 0.6637, kb_relative_information_score: 135.9203, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.6139, predictive_accuracy: 0.7168, prior_entropy: 3.6349, recall: 0.7168, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.7204, scimark_benchmark: 926.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.6568, kappa: 0.6417, kb_relative_information_score: 137.8654, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.6674, predictive_accuracy: 0.6991, prior_entropy: 3.6349, recall: 0.6991, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.7004, scimark_benchmark: 946.7551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8143, kappa: 0.7934, kb_relative_information_score: 166.941, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.8134, predictive_accuracy: 0.823, prior_entropy: 3.6349, recall: 0.823, relative_absolute_error: 0.215, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.5799, scimark_benchmark: 909.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.7719, kappa: 0.7654, kb_relative_information_score: 138.3575, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7512, predictive_accuracy: 0.8009, prior_entropy: 3.6349, recall: 0.8009, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.625, scimark_benchmark: 946.3417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.6771, kappa: 0.6832, kb_relative_information_score: 13.5035, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.652, predictive_accuracy: 0.7345, prior_entropy: 3.6349, recall: 0.7345, relative_absolute_error: 1.0627, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.194, root_relative_squared_error: 1.0246, scimark_benchmark: 948.0787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.1016, kb_relative_information_score: 5.8384, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.0636, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 1.0714, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1956, root_relative_squared_error: 1.0333, scimark_benchmark: 950.5511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.7647, kappa: 0.7528, kb_relative_information_score: 160.1083, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7536, predictive_accuracy: 0.7876, prior_entropy: 3.6349, recall: 0.7876, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.6277, scimark_benchmark: 922.3584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.2849, kappa: 0.2702, kb_relative_information_score: 6.6978, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.2137, predictive_accuracy: 0.4381, prior_entropy: 3.6349, recall: 0.4381, relative_absolute_error: 1.0692, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1952, root_relative_squared_error: 1.0311, scimark_benchmark: 946.2097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4121, f_measure: 0.1016, kb_relative_information_score: -0.0953, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.0636, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1895, root_relative_squared_error: 1.001, scimark_benchmark: 945.6323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.3411, kappa: 0.2268, kb_relative_information_score: 7.9191, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.5151, predictive_accuracy: 0.3894, prior_entropy: 3.6349, recall: 0.3894, relative_absolute_error: 1.0692, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1952, root_relative_squared_error: 1.0311, scimark_benchmark: 911.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.7881, kappa: 0.7677, kb_relative_information_score: 156.8899, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7863, predictive_accuracy: 0.8009, prior_entropy: 3.6349, recall: 0.8009, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.6297, scimark_benchmark: 946.5204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4557, f_measure: 0.1016, kb_relative_information_score: 5.5997, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.0636, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 1.0718, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1957, root_relative_squared_error: 1.0336, scimark_benchmark: 948.5932,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.7792, kappa: 0.7711, kb_relative_information_score: 154.3417, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7634, predictive_accuracy: 0.8053, prior_entropy: 3.6349, recall: 0.8053, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.5907, scimark_benchmark: 904.1828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.8257, kappa: 0.8197, kb_relative_information_score: 169.9964, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.8235, predictive_accuracy: 0.8451, prior_entropy: 3.6349, recall: 0.8451, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.5773, scimark_benchmark: 911.7794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8276, kappa: 0.8138, kb_relative_information_score: 166.8098, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.8206, predictive_accuracy: 0.8407, prior_entropy: 3.6349, recall: 0.8407, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.5311, scimark_benchmark: 915.6273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.719, kappa: 0.7093, kb_relative_information_score: 142.7497, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7004, predictive_accuracy: 0.7522, prior_entropy: 3.6349, recall: 0.7522, relative_absolute_error: 0.2968, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.728, scimark_benchmark: 947.2015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8289, kappa: 0.8193, kb_relative_information_score: 167.776, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.818, predictive_accuracy: 0.8451, prior_entropy: 3.6349, recall: 0.8451, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.5609, scimark_benchmark: 888.9466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.7798, kappa: 0.762, kb_relative_information_score: 163.5818, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7675, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.6137, scimark_benchmark: 941.3852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8478, kappa: 0.8349, kb_relative_information_score: 172.1844, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.8445, predictive_accuracy: 0.8584, prior_entropy: 3.6349, recall: 0.8584, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.108, root_relative_squared_error: 0.5703, scimark_benchmark: 943.8831,
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: 0.9465, f_measure: 0.7596, kappa: 0.7609, kb_relative_information_score: 152.6772, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7343, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.6081, scimark_benchmark: 897.2124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.7896, kappa: 0.7812, kb_relative_information_score: 158.546, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.7739, predictive_accuracy: 0.8142, prior_entropy: 3.6349, recall: 0.8142, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.6373, scimark_benchmark: 947.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 61.1895, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2112, root_relative_squared_error: 1.1158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 45.2702, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.9186, scimark_benchmark: 922.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8382, kappa: 0.8193, kb_relative_information_score: 170.0281, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.8377, predictive_accuracy: 0.8451, prior_entropy: 3.6349, recall: 0.8451, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.5958, scimark_benchmark: 940.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 61.1895, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2112, root_relative_squared_error: 1.1158, scimark_benchmark: 919.8184,

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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