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OpenML
OpenML
Supervised Classification on ecoli

Supervised Classification on ecoli

Task 38 Supervised Classification ecoli 685 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic study_1 study_107 study_41 study_7 under100k under1m
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685 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8121, kappa: 0.75, kb_relative_information_score: 232.5435, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.807, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.6583, scimark_benchmark: 881.1449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.837, kappa: 0.7882, kb_relative_information_score: 251.5918, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8344, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.566, scimark_benchmark: 921.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8736, kappa: 0.8315, kb_relative_information_score: 43.5183, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.872, predictive_accuracy: 0.878, prior_entropy: 2.2353, recall: 0.878, relative_absolute_error: 1.0371, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.9764, scimark_benchmark: 947.1508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8337, kappa: 0.7771, kb_relative_information_score: 239.5273, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8324, predictive_accuracy: 0.8393, prior_entropy: 2.2353, recall: 0.8393, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5941, scimark_benchmark: 919.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8722, kappa: 0.8309, kb_relative_information_score: 40.6231, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8688, predictive_accuracy: 0.878, prior_entropy: 2.2353, recall: 0.878, relative_absolute_error: 1.0377, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.295, root_relative_squared_error: 0.9779, scimark_benchmark: 947.2705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8596, kappa: 0.8146, kb_relative_information_score: 251.8613, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8543, predictive_accuracy: 0.8661, prior_entropy: 2.2353, recall: 0.8661, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.5331, scimark_benchmark: 947.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8303, kappa: 0.7751, kb_relative_information_score: 235.9346, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8278, predictive_accuracy: 0.8393, prior_entropy: 2.2353, recall: 0.8393, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.5695, scimark_benchmark: 921.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.816, kappa: 0.7551, kb_relative_information_score: 242.8409, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8116, predictive_accuracy: 0.8244, prior_entropy: 2.2353, recall: 0.8244, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.6012, scimark_benchmark: 905.4903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8332, kappa: 0.7744, kb_relative_information_score: 249.4211, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8377, predictive_accuracy: 0.8363, prior_entropy: 2.2353, recall: 0.8363, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.6032, scimark_benchmark: 943.0207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8088, kappa: 0.7433, kb_relative_information_score: 226.8283, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8038, predictive_accuracy: 0.8155, prior_entropy: 2.2353, recall: 0.8155, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.198, root_relative_squared_error: 0.6563, scimark_benchmark: 943.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8183, kappa: 0.7586, kb_relative_information_score: 234.9486, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8129, predictive_accuracy: 0.8274, prior_entropy: 2.2353, recall: 0.8274, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.664, scimark_benchmark: 927.2961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8567, kappa: 0.8102, kb_relative_information_score: 245.5807, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8509, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.5519, scimark_benchmark: 948.5914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8575, kappa: 0.8107, kb_relative_information_score: 43.3864, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8542, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 1.0376, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.9771, scimark_benchmark: 945.8795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.7986, kappa: 0.7345, kb_relative_information_score: 224.045, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7898, predictive_accuracy: 0.8095, prior_entropy: 2.2353, recall: 0.8095, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6427, scimark_benchmark: 918.2389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.7702, kappa: 0.695, kb_relative_information_score: 205.8637, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.764, predictive_accuracy: 0.7827, prior_entropy: 2.2353, recall: 0.7827, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.6741, scimark_benchmark: 914.5916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8596, kappa: 0.8146, kb_relative_information_score: 251.8613, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8543, predictive_accuracy: 0.8661, prior_entropy: 2.2353, recall: 0.8661, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.5331, scimark_benchmark: 946.2468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8584, kappa: 0.8104, kb_relative_information_score: 38.0272, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8549, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 1.0389, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.979, scimark_benchmark: 945.4001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8124, kappa: 0.7501, kb_relative_information_score: 232.0597, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.807, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.6619, scimark_benchmark: 946.3508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8432, kappa: 0.7922, kb_relative_information_score: 236.8976, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8408, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5655, scimark_benchmark: 948.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 925.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8006, kappa: 0.7618, kb_relative_information_score: 37.6641, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8131, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 1.0395, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.9797, scimark_benchmark: 949.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.834, kappa: 0.7797, kb_relative_information_score: 236.2892, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8315, predictive_accuracy: 0.8423, prior_entropy: 2.2353, recall: 0.8423, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5673, scimark_benchmark: 947.6249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.8645, kappa: 0.8189, kb_relative_information_score: 43.3066, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8611, predictive_accuracy: 0.869, prior_entropy: 2.2353, recall: 0.869, relative_absolute_error: 1.0376, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.977, scimark_benchmark: 935.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8504, kappa: 0.802, kb_relative_information_score: 253.2257, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8462, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5656, scimark_benchmark: 946.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8104, kappa: 0.7489, kb_relative_information_score: 228.2668, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8087, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6396, scimark_benchmark: 920.2054,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.6767, kappa: 0.6417, kb_relative_information_score: 27.9017, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6163, predictive_accuracy: 0.753, prior_entropy: 2.2353, recall: 0.753, relative_absolute_error: 1.0501, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.9905, scimark_benchmark: 949.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6359, kappa: 0.5202, kb_relative_information_score: 19.0835, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6948, predictive_accuracy: 0.6845, prior_entropy: 2.2353, recall: 0.6845, relative_absolute_error: 1.0607, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.302, root_relative_squared_error: 1.0012, scimark_benchmark: 945.8026,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.6552, kappa: 0.5345, kb_relative_information_score: 22.1275, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6989, predictive_accuracy: 0.6875, prior_entropy: 2.2353, recall: 0.6875, relative_absolute_error: 1.0585, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.999, scimark_benchmark: 946.0796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8513, kappa: 0.8016, kb_relative_information_score: -6.8464, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8468, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 1.161, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3209, root_relative_squared_error: 1.0639, scimark_benchmark: 946.2475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8523, kappa: 0.8027, kb_relative_information_score: 44.7923, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8487, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 1.0373, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.9765, scimark_benchmark: 946.3849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.7468, kappa: 0.7172, kb_relative_information_score: 36.7581, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7295, predictive_accuracy: 0.8006, prior_entropy: 2.2353, recall: 0.8006, relative_absolute_error: 1.0408, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.981, scimark_benchmark: 945.8797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.7833, kappa: 0.7154, kb_relative_information_score: 208.7961, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7791, predictive_accuracy: 0.7976, prior_entropy: 2.2353, recall: 0.7976, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6637, scimark_benchmark: 911.0212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8631, kappa: 0.8185, kb_relative_information_score: 248.5755, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8606, predictive_accuracy: 0.869, prior_entropy: 2.2353, recall: 0.869, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.5516, scimark_benchmark: 922.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8199, kappa: 0.7605, kb_relative_information_score: 33.5684, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8241, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 1.044, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.9843, scimark_benchmark: 948.3836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8633, kappa: 0.8189, kb_relative_information_score: 252.2025, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8618, predictive_accuracy: 0.869, prior_entropy: 2.2353, recall: 0.869, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.5527, scimark_benchmark: 881.0879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 260.0853, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5458, scimark_benchmark: 924.9126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8152, kappa: 0.7542, kb_relative_information_score: 233.5762, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8098, predictive_accuracy: 0.8244, prior_entropy: 2.2353, recall: 0.8244, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.6483, scimark_benchmark: 947.7928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.6669, kappa: 0.6253, kb_relative_information_score: 25.2874, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6069, predictive_accuracy: 0.744, prior_entropy: 2.2353, recall: 0.744, relative_absolute_error: 1.0527, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.9932, scimark_benchmark: 944.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.2541, kb_relative_information_score: 0.1892, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3017, root_relative_squared_error: 1.0002, scimark_benchmark: 948.6918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.7617, kappa: 0.6972, kb_relative_information_score: 169.8303, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7694, predictive_accuracy: 0.7887, prior_entropy: 2.2353, recall: 0.7887, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.6893, scimark_benchmark: 942.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 938.8682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8312, kappa: 0.7765, kb_relative_information_score: 247.7757, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8255, predictive_accuracy: 0.8393, prior_entropy: 2.2353, recall: 0.8393, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.179, root_relative_squared_error: 0.5934, scimark_benchmark: 912.4257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.866, kappa: 0.8224, kb_relative_information_score: 251.3302, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8654, predictive_accuracy: 0.872, prior_entropy: 2.2353, recall: 0.872, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.5464, scimark_benchmark: 945.3246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.2541, kb_relative_information_score: 0.1892, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3017, root_relative_squared_error: 1.0002, scimark_benchmark: 928.3258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8625, kappa: 0.8183, kb_relative_information_score: 252.6223, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8625, predictive_accuracy: 0.869, prior_entropy: 2.2353, recall: 0.869, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5458, scimark_benchmark: 911.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.7918, kappa: 0.7262, kb_relative_information_score: 217.2614, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7839, predictive_accuracy: 0.8036, prior_entropy: 2.2353, recall: 0.8036, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.6447, scimark_benchmark: 936.9045,

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