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: 0.9513, f_measure: 0.8099, kappa: 0.7542, kb_relative_information_score: 0.7851, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8112, predictive_accuracy: 0.8099, prior_entropy: 2.4107, recall: 0.8099, relative_absolute_error: 0.259, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8135, kappa: 0.7588, kb_relative_information_score: 0.7881, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8147, predictive_accuracy: 0.8135, prior_entropy: 2.4107, recall: 0.8135, relative_absolute_error: 0.258, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.6189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8006, kappa: 0.7424, kb_relative_information_score: 0.7832, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8016, predictive_accuracy: 0.8006, prior_entropy: 2.4107, recall: 0.8006, relative_absolute_error: 0.2645, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8086, kappa: 0.7532, kb_relative_information_score: 0.7868, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8091, predictive_accuracy: 0.8089, prior_entropy: 2.4107, recall: 0.8089, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.6406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.804, kappa: 0.7476, kb_relative_information_score: 0.7848, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8044, predictive_accuracy: 0.8042, prior_entropy: 2.4107, recall: 0.8042, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.6484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8019, kappa: 0.7448, kb_relative_information_score: 0.7806, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8024, predictive_accuracy: 0.8022, prior_entropy: 2.4107, recall: 0.8022, relative_absolute_error: 0.2609, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8083, kappa: 0.7533, kb_relative_information_score: 0.7877, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8086, predictive_accuracy: 0.8083, prior_entropy: 2.4107, recall: 0.8083, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.6441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.7947, kappa: 0.7348, kb_relative_information_score: 0.7717, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7954, predictive_accuracy: 0.7944, prior_entropy: 2.4107, recall: 0.7944, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.7952, kappa: 0.7362, kb_relative_information_score: 0.7139, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7958, predictive_accuracy: 0.796, prior_entropy: 2.4107, recall: 0.796, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.5985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8109, kappa: 0.7562, kb_relative_information_score: 0.7936, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8115, predictive_accuracy: 0.8109, prior_entropy: 2.4107, recall: 0.8109, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8058, kappa: 0.7503, kb_relative_information_score: 0.7868, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8058, predictive_accuracy: 0.8063, prior_entropy: 2.4107, recall: 0.8063, relative_absolute_error: 0.2534, 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: 0.951, f_measure: 0.8106, kappa: 0.756, kb_relative_information_score: 0.781, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8113, predictive_accuracy: 0.8114, prior_entropy: 2.4107, recall: 0.8114, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8085, kappa: 0.7535, kb_relative_information_score: 0.7904, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 2.4107, recall: 0.8089, relative_absolute_error: 0.249, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7982, kappa: 0.7394, kb_relative_information_score: 0.7686, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.799, predictive_accuracy: 0.798, prior_entropy: 2.4107, recall: 0.798, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8062, kappa: 0.7501, kb_relative_information_score: 0.7821, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8069, predictive_accuracy: 0.8063, prior_entropy: 2.4107, recall: 0.8063, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.6355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.7964, kappa: 0.7377, kb_relative_information_score: 0.7779, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7967, predictive_accuracy: 0.7965, prior_entropy: 2.4107, recall: 0.7965, relative_absolute_error: 0.2708, 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: 0.952, f_measure: 0.8126, kappa: 0.7575, kb_relative_information_score: 0.787, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8135, predictive_accuracy: 0.8125, prior_entropy: 2.4107, recall: 0.8125, relative_absolute_error: 0.2631, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.6046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8095, kappa: 0.7547, kb_relative_information_score: 0.7901, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 2.4107, recall: 0.8099, relative_absolute_error: 0.2492, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.6408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8106, kappa: 0.7549, kb_relative_information_score: 0.7698, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8123, predictive_accuracy: 0.8109, prior_entropy: 2.4107, recall: 0.8109, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.5942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8086, kappa: 0.7533, kb_relative_information_score: 0.7899, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8093, predictive_accuracy: 0.8083, prior_entropy: 2.4107, recall: 0.8083, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.6257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8098, kappa: 0.7549, kb_relative_information_score: 0.7884, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8102, predictive_accuracy: 0.8099, prior_entropy: 2.4107, recall: 0.8099, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.6486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.7995, kappa: 0.7412, kb_relative_information_score: 0.7756, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8007, predictive_accuracy: 0.7996, prior_entropy: 2.4107, recall: 0.7996, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.6207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8042, kappa: 0.7469, kb_relative_information_score: 0.7826, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8051, predictive_accuracy: 0.8042, prior_entropy: 2.4107, recall: 0.8042, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.6311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.7969, kappa: 0.7376, kb_relative_information_score: 0.7753, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7977, predictive_accuracy: 0.797, prior_entropy: 2.4107, recall: 0.797, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.6406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.7992, kappa: 0.7402, kb_relative_information_score: 0.7851, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8002, predictive_accuracy: 0.7986, prior_entropy: 2.4107, recall: 0.7986, relative_absolute_error: 0.258, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8069, kappa: 0.7516, kb_relative_information_score: 0.7874, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8072, predictive_accuracy: 0.8073, prior_entropy: 2.4107, recall: 0.8073, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.6511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.7869, kappa: 0.725, kb_relative_information_score: 0.7663, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7875, predictive_accuracy: 0.7872, prior_entropy: 2.4107, recall: 0.7872, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.218, root_relative_squared_error: 0.6539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8041, kappa: 0.7464, kb_relative_information_score: 0.7694, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8057, predictive_accuracy: 0.8042, prior_entropy: 2.4107, recall: 0.8042, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.199, root_relative_squared_error: 0.5969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8053, kappa: 0.7478, kb_relative_information_score: 0.755, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8067, predictive_accuracy: 0.8053, prior_entropy: 2.4107, recall: 0.8053, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.194, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8099, kappa: 0.7537, kb_relative_information_score: 0.774, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.812, predictive_accuracy: 0.8099, prior_entropy: 2.4107, recall: 0.8099, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.5887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7134, kappa: 0.6324, kb_relative_information_score: 0.6784, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7129, predictive_accuracy: 0.7141, prior_entropy: 2.4107, recall: 0.7141, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kappa: -0.0009, kb_relative_information_score: 0.1405, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.3266, prior_entropy: 2.4107, recall: 0.3266, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.3157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7169, kappa: 0.6351, kb_relative_information_score: 0.6796, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.718, predictive_accuracy: 0.7161, prior_entropy: 2.4107, recall: 0.7161, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8047, kappa: 0.7479, kb_relative_information_score: 0.7828, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8055, predictive_accuracy: 0.8047, prior_entropy: 2.4107, recall: 0.8047, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8051, kappa: 0.7478, kb_relative_information_score: 1430.7073, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8065, predictive_accuracy: 0.8053, prior_entropy: 2.4138, recall: 0.8053, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.5872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.519, kappa: 0.3882, kb_relative_information_score: 695.2115, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.708, predictive_accuracy: 0.5724, prior_entropy: 2.4138, recall: 0.5724, relative_absolute_error: 0.7313, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.8413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.6389, kappa: 0.5454, kb_relative_information_score: 1021.7397, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.6371, predictive_accuracy: 0.6502, prior_entropy: 2.4138, recall: 0.6502, relative_absolute_error: 0.6152, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.7802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, kappa: 0.1352, kb_relative_information_score: 226.7488, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.4199, prior_entropy: 2.4138, recall: 0.4199, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.6705, kappa: 0.5703, kb_relative_information_score: 1060.7482, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.736, predictive_accuracy: 0.6847, prior_entropy: 2.4138, recall: 0.6847, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.7433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.6072, kappa: 0.5166, kb_relative_information_score: 854.8111, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.6274, predictive_accuracy: 0.6172, prior_entropy: 2.4138, recall: 0.6172, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.7187, kappa: 0.6361, kb_relative_information_score: 1229.3944, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7267, predictive_accuracy: 0.7228, prior_entropy: 2.4138, recall: 0.7228, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.6875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, kb_relative_information_score: 3.6591, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.3467, prior_entropy: 2.4138, recall: 0.3467, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3334, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.768, kappa: 0.6987, kb_relative_information_score: 1334.0619, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7728, predictive_accuracy: 0.7692, prior_entropy: 2.4138, recall: 0.7692, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.641, kappa: 0.5489, kb_relative_information_score: 1070.9719, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.6844, predictive_accuracy: 0.6651, prior_entropy: 2.4138, recall: 0.6651, relative_absolute_error: 0.608, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.248, root_relative_squared_error: 0.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.5808, kappa: 0.4427, kb_relative_information_score: 918.2415, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.671, predictive_accuracy: 0.5894, prior_entropy: 2.4138, recall: 0.5894, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.268, root_relative_squared_error: 0.8041,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.756, kappa: 0.6845, kb_relative_information_score: 1303.21, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7575, predictive_accuracy: 0.7563, prior_entropy: 2.4138, recall: 0.7563, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.6561,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8083, kappa: 0.7508, kb_relative_information_score: 1406.4246, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8109, predictive_accuracy: 0.8078, prior_entropy: 2.4138, recall: 0.8078, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.5954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8073, kappa: 0.7505, kb_relative_information_score: 1427.5456, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8088, predictive_accuracy: 0.8073, prior_entropy: 2.4138, recall: 0.8073, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.5886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8128, kappa: 0.7577, kb_relative_information_score: 1421.3579, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8143, predictive_accuracy: 0.813, prior_entropy: 2.4138, recall: 0.813, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.5864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.7651, kappa: 0.697, kb_relative_information_score: 1420.2907, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7664, predictive_accuracy: 0.7651, prior_entropy: 2.4138, recall: 0.7651, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.7772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8092, kappa: 0.7531, kb_relative_information_score: 1427.4229, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8106, predictive_accuracy: 0.8094, prior_entropy: 2.4138, recall: 0.8094, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.5903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.7966, kappa: 0.7366, kb_relative_information_score: 1382.7662, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7986, predictive_accuracy: 0.797, prior_entropy: 2.4138, recall: 0.797, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7685, kappa: 0.6994, kb_relative_information_score: 1420.338, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7723, predictive_accuracy: 0.7687, prior_entropy: 2.4138, recall: 0.7687, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.7712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8049, kappa: 0.747, kb_relative_information_score: 1393.2758, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8065, predictive_accuracy: 0.8047, prior_entropy: 2.4138, recall: 0.8047, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.5983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.7973, kappa: 0.7374, kb_relative_information_score: 1363.6965, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7994, predictive_accuracy: 0.7975, prior_entropy: 2.4138, recall: 0.7975, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7618, kappa: 0.6925, kb_relative_information_score: 1416.8817, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7634, predictive_accuracy: 0.7615, prior_entropy: 2.4138, recall: 0.7615, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.7831,

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