OpenML
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 146817 Supervised Classification steel-plates-fault 9051 runs submitted
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9051 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.7523, kappa: 0.6779, kb_relative_information_score: 1209.108, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7613, predictive_accuracy: 0.7543, prior_entropy: 2.4138, recall: 0.7543, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.6717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.7674, kappa: 0.6972, kb_relative_information_score: 1286.4952, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7737, predictive_accuracy: 0.7682, prior_entropy: 2.4138, recall: 0.7682, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7568, kappa: 0.6851, kb_relative_information_score: 1289.9458, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7607, predictive_accuracy: 0.7584, prior_entropy: 2.4138, recall: 0.7584, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.7112, kappa: 0.6256, kb_relative_information_score: 1050.0076, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7464, predictive_accuracy: 0.7197, prior_entropy: 2.4138, recall: 0.7197, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.7939, kappa: 0.7325, kb_relative_information_score: 1388.7498, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7962, predictive_accuracy: 0.7939, prior_entropy: 2.4138, recall: 0.7939, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8102, kappa: 0.7546, kb_relative_information_score: 1443.4583, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8114, predictive_accuracy: 0.8104, prior_entropy: 2.4138, recall: 0.8104, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.5896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.7528, kappa: 0.6788, kb_relative_information_score: 1320.0158, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7551, predictive_accuracy: 0.7522, prior_entropy: 2.4138, recall: 0.7522, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.7559, kappa: 0.6829, kb_relative_information_score: 1238.3788, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.763, predictive_accuracy: 0.7573, prior_entropy: 2.4138, recall: 0.7573, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.6621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.7621, kappa: 0.6899, kb_relative_information_score: 1273.9442, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7702, predictive_accuracy: 0.763, prior_entropy: 2.4138, recall: 0.763, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.6474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.7874, kappa: 0.7229, kb_relative_information_score: 1324.8037, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7918, predictive_accuracy: 0.7872, prior_entropy: 2.4138, recall: 0.7872, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.6217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7824, kappa: 0.7163, kb_relative_information_score: 1337.1462, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7864, predictive_accuracy: 0.7821, prior_entropy: 2.4138, recall: 0.7821, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.6226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7568, kappa: 0.6835, kb_relative_information_score: 1310.9691, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7624, predictive_accuracy: 0.7579, prior_entropy: 2.4138, recall: 0.7579, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.6431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.7708, kappa: 0.7013, kb_relative_information_score: 1309.4312, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7762, predictive_accuracy: 0.7713, prior_entropy: 2.4138, recall: 0.7713, relative_absolute_error: 0.4469, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.6314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.7604, kappa: 0.6891, kb_relative_information_score: 1256.081, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7668, predictive_accuracy: 0.762, prior_entropy: 2.4138, recall: 0.762, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.6594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.7919, kappa: 0.7293, kb_relative_information_score: 1358.0595, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7953, predictive_accuracy: 0.7919, prior_entropy: 2.4138, recall: 0.7919, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.7171, kappa: 0.6318, kb_relative_information_score: 1052.7827, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7483, predictive_accuracy: 0.7239, prior_entropy: 2.4138, recall: 0.7239, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.7238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.7724, kappa: 0.7052, kb_relative_information_score: 1331.6931, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7758, predictive_accuracy: 0.7738, prior_entropy: 2.4138, recall: 0.7738, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.6345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.7528, kappa: 0.6789, kb_relative_information_score: 1248.9151, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7602, predictive_accuracy: 0.7543, prior_entropy: 2.4138, recall: 0.7543, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.6616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.7874, kappa: 0.7233, kb_relative_information_score: 1315.5484, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7909, predictive_accuracy: 0.7872, prior_entropy: 2.4138, recall: 0.7872, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.6245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.7797, kappa: 0.7134, kb_relative_information_score: 1291.5875, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7841, predictive_accuracy: 0.78, prior_entropy: 2.4138, recall: 0.78, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.6354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.7678, kappa: 0.6967, kb_relative_information_score: 1254.7859, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7753, predictive_accuracy: 0.7682, prior_entropy: 2.4138, recall: 0.7682, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.6501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.751, kappa: 0.678, kb_relative_information_score: 1307.4045, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.754, predictive_accuracy: 0.7527, prior_entropy: 2.4138, recall: 0.7527, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.6582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.782, kappa: 0.7159, kb_relative_information_score: 1335.8648, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7867, predictive_accuracy: 0.7821, prior_entropy: 2.4138, recall: 0.7821, relative_absolute_error: 0.4331, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.207, root_relative_squared_error: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.7869, kappa: 0.7231, kb_relative_information_score: 1313.9201, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7909, predictive_accuracy: 0.7872, prior_entropy: 2.4138, recall: 0.7872, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.6248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.7812, kappa: 0.7141, kb_relative_information_score: 1300.2709, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7874, predictive_accuracy: 0.781, prior_entropy: 2.4138, recall: 0.781, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.7476, kappa: 0.6715, kb_relative_information_score: 1224.0965, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7562, predictive_accuracy: 0.7491, prior_entropy: 2.4138, recall: 0.7491, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.6716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.7686, kappa: 0.7001, kb_relative_information_score: 1334.3236, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7714, predictive_accuracy: 0.7697, prior_entropy: 2.4138, recall: 0.7697, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.7704, kappa: 0.7021, kb_relative_information_score: 1322.8135, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7739, predictive_accuracy: 0.7713, prior_entropy: 2.4138, recall: 0.7713, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.6285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.7906, kappa: 0.7286, kb_relative_information_score: 1422.6515, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7923, predictive_accuracy: 0.7903, prior_entropy: 2.4138, recall: 0.7903, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.6156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.7691, kappa: 0.6999, kb_relative_information_score: 1299.3727, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7741, predictive_accuracy: 0.7697, prior_entropy: 2.4138, recall: 0.7697, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.212, root_relative_squared_error: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.7756, kappa: 0.7067, kb_relative_information_score: 1280.6864, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7821, predictive_accuracy: 0.7754, prior_entropy: 2.4138, recall: 0.7754, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.7636, kappa: 0.6945, kb_relative_information_score: 1293.7087, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7676, predictive_accuracy: 0.7656, prior_entropy: 2.4138, recall: 0.7656, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.216, root_relative_squared_error: 0.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.7183, kappa: 0.6348, kb_relative_information_score: 1274.9507, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7204, predictive_accuracy: 0.7192, prior_entropy: 2.4138, recall: 0.7192, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.7456, kappa: 0.671, kb_relative_information_score: 1304.031, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.748, predictive_accuracy: 0.747, prior_entropy: 2.4138, recall: 0.747, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.6673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.7462, kappa: 0.6691, kb_relative_information_score: 1192.2255, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7579, predictive_accuracy: 0.7481, prior_entropy: 2.4138, recall: 0.7481, relative_absolute_error: 0.521, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.6789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.759, kappa: 0.6866, kb_relative_information_score: 1311.7449, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.764, predictive_accuracy: 0.7599, prior_entropy: 2.4138, recall: 0.7599, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.215, root_relative_squared_error: 0.6448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.7664, kappa: 0.6957, kb_relative_information_score: 1330.4059, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7706, predictive_accuracy: 0.7666, prior_entropy: 2.4138, recall: 0.7666, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.7626, kappa: 0.6917, kb_relative_information_score: 1298.3201, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7679, predictive_accuracy: 0.764, prior_entropy: 2.4138, recall: 0.764, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.6433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.747, kappa: 0.6715, kb_relative_information_score: 1188.8062, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7602, predictive_accuracy: 0.7501, prior_entropy: 2.4138, recall: 0.7501, relative_absolute_error: 0.5314, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.6769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.7974, kappa: 0.7368, kb_relative_information_score: 1385.863, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8004, predictive_accuracy: 0.7975, prior_entropy: 2.4138, recall: 0.7975, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.7792, kappa: 0.711, kb_relative_information_score: 1257.049, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7864, predictive_accuracy: 0.779, prior_entropy: 2.4138, recall: 0.779, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.7449, kappa: 0.669, kb_relative_information_score: 1178.3357, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.759, predictive_accuracy: 0.7486, prior_entropy: 2.4138, recall: 0.7486, relative_absolute_error: 0.5385, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.7394, kappa: 0.6639, kb_relative_information_score: 1302.8838, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7413, predictive_accuracy: 0.7414, prior_entropy: 2.4138, recall: 0.7414, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.225, root_relative_squared_error: 0.6749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, kappa: 0.3507, kb_relative_information_score: 754.8541, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.5487, prior_entropy: 2.4138, recall: 0.5487, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3591, root_relative_squared_error: 1.0772,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.7564, kappa: 0.6836, kb_relative_information_score: 1235.3754, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7654, predictive_accuracy: 0.7584, prior_entropy: 2.4138, recall: 0.7584, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.6627,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.7593, kappa: 0.6868, kb_relative_information_score: 1268.2269, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7665, predictive_accuracy: 0.7604, prior_entropy: 2.4138, recall: 0.7604, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.6483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.7971, kappa: 0.7374, kb_relative_information_score: 1420.4839, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7982, predictive_accuracy: 0.797, prior_entropy: 2.4138, recall: 0.797, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.6072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.7612, kappa: 0.6896, kb_relative_information_score: 1262.1632, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7699, predictive_accuracy: 0.763, prior_entropy: 2.4138, recall: 0.763, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.7952, kappa: 0.7331, kb_relative_information_score: 1356.4215, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7993, predictive_accuracy: 0.795, prior_entropy: 2.4138, recall: 0.795, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.7581, kappa: 0.6851, kb_relative_information_score: 1255.417, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7662, predictive_accuracy: 0.7594, prior_entropy: 2.4138, recall: 0.7594, relative_absolute_error: 0.4827, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.6525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.7731, kappa: 0.7019, kb_relative_information_score: 1203.7445, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7854, predictive_accuracy: 0.7733, prior_entropy: 2.4138, recall: 0.7733, relative_absolute_error: 0.5267, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.6681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7332, kappa: 0.6568, kb_relative_information_score: 1322.3693, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7475, predictive_accuracy: 0.7378, prior_entropy: 2.4138, recall: 0.7378, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.8211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.7718, kappa: 0.7032, kb_relative_information_score: 1293.3105, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7768, predictive_accuracy: 0.7723, prior_entropy: 2.4138, recall: 0.7723, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.754, kappa: 0.6783, kb_relative_information_score: 1142.6214, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7687, predictive_accuracy: 0.7558, prior_entropy: 2.4138, recall: 0.7558, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.6895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.7832, kappa: 0.7176, kb_relative_information_score: 1312.9011, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7872, predictive_accuracy: 0.7831, prior_entropy: 2.4138, recall: 0.7831, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.6256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.7411, kappa: 0.6646, kb_relative_information_score: 1148.1129, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7609, predictive_accuracy: 0.746, prior_entropy: 2.4138, recall: 0.746, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.6933,

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