OpenML
Supervised Classification on fri_c1_250_25

Supervised Classification on fri_c1_250_25

Task 3612 Supervised Classification fri_c1_250_25 558 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.6277, kappa: 0.2358, kb_relative_information_score: 32.1381, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6274, predictive_accuracy: 0.632, prior_entropy: 0.9852, recall: 0.632, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8708, kappa: 0.7348, kb_relative_information_score: 145.5787, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8738, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.4529, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.6255, kappa: 0.2321, kb_relative_information_score: 32.608, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6247, predictive_accuracy: 0.628, prior_entropy: 0.9852, recall: 0.628, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.8388, kappa: 0.6693, kb_relative_information_score: 144.8424, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 0.9852, recall: 0.84, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.376, root_relative_squared_error: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.6336, kappa: 0.2486, kb_relative_information_score: 38.7368, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6328, predictive_accuracy: 0.636, prior_entropy: 0.9852, recall: 0.636, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5483, f_measure: 0.5903, kappa: 0.1608, kb_relative_information_score: 17.3932, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5893, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8717, kappa: 0.7373, kb_relative_information_score: 183.7914, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.2631, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.6255, kappa: 0.2321, kb_relative_information_score: 43.257, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6247, predictive_accuracy: 0.628, prior_entropy: 0.9852, recall: 0.628, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8921, kappa: 0.7797, kb_relative_information_score: 183.4174, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8922, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.5677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7357, kappa: 0.4595, kb_relative_information_score: 110.8979, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7354, predictive_accuracy: 0.736, prior_entropy: 0.9852, recall: 0.736, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.6342, kappa: 0.2504, kb_relative_information_score: 36.5524, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6334, predictive_accuracy: 0.636, prior_entropy: 0.9852, recall: 0.636, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6151, f_measure: 0.7086, kappa: 0.402, kb_relative_information_score: 21.3866, mean_absolute_error: 0.4587, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7099, predictive_accuracy: 0.712, prior_entropy: 0.9852, recall: 0.712, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.5722, kappa: 0.1269, kb_relative_information_score: 19.0959, mean_absolute_error: 0.4547, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5725, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.6084, kappa: 0.2013, kb_relative_information_score: 39.534, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6089, predictive_accuracy: 0.608, prior_entropy: 0.9852, recall: 0.608, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8873, kappa: 0.7691, kb_relative_information_score: 154.3639, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8886, predictive_accuracy: 0.888, prior_entropy: 0.9852, recall: 0.888, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8235, kappa: 0.6388, kb_relative_information_score: 93.3381, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8235, predictive_accuracy: 0.824, prior_entropy: 0.9852, recall: 0.824, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4163, kb_relative_information_score: -0.093, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7078, kappa: 0.4029, kb_relative_information_score: 70.8528, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7077, predictive_accuracy: 0.708, prior_entropy: 0.9852, recall: 0.708, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8158, kappa: 0.6233, kb_relative_information_score: 156.4241, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8156, predictive_accuracy: 0.816, prior_entropy: 0.9852, recall: 0.816, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8834, kappa: 0.7611, kb_relative_information_score: 165.7822, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8843, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.5957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8593, kappa: 0.7117, kb_relative_information_score: 174.0454, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6336, kappa: 0.2486, kb_relative_information_score: 38.8179, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6328, predictive_accuracy: 0.636, prior_entropy: 0.9852, recall: 0.636, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.6175, kappa: 0.2156, kb_relative_information_score: 31.9086, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6165, predictive_accuracy: 0.62, prior_entropy: 0.9852, recall: 0.62, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, f_measure: 0.6534, kappa: 0.2891, kb_relative_information_score: 43.5554, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6529, predictive_accuracy: 0.656, prior_entropy: 0.9852, recall: 0.656, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.6034, kappa: 0.186, kb_relative_information_score: 48.0422, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6027, predictive_accuracy: 0.608, prior_entropy: 0.9852, recall: 0.608, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8549, kappa: 0.7024, kb_relative_information_score: 100.799, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7981, kappa: 0.5857, kb_relative_information_score: 122.7308, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9852, recall: 0.8, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5225, f_measure: 0.5349, kappa: 0.0466, kb_relative_information_score: 17.1395, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5344, predictive_accuracy: 0.548, prior_entropy: 0.9852, recall: 0.548, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6723, root_relative_squared_error: 1.3588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6689, f_measure: 0.6167, kappa: 0.2137, kb_relative_information_score: 34.2396, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6159, predictive_accuracy: 0.62, prior_entropy: 0.9852, recall: 0.62, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.479, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.5515, kappa: 0.0973, kb_relative_information_score: 35.6811, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5691, predictive_accuracy: 0.584, prior_entropy: 0.9852, recall: 0.584, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8593, kappa: 0.7117, kb_relative_information_score: 174.0454, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6336, kappa: 0.2486, kb_relative_information_score: 38.8179, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6328, predictive_accuracy: 0.636, prior_entropy: 0.9852, recall: 0.636, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.6484, kappa: 0.328, kb_relative_information_score: 70.7042, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6978, predictive_accuracy: 0.652, prior_entropy: 0.9852, recall: 0.652, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.6484, kappa: 0.328, kb_relative_information_score: 70.7042, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6978, predictive_accuracy: 0.652, prior_entropy: 0.9852, recall: 0.652, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.6484, kappa: 0.328, kb_relative_information_score: 70.7042, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6978, predictive_accuracy: 0.652, prior_entropy: 0.9852, recall: 0.652, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.6484, kappa: 0.328, kb_relative_information_score: 70.7042, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6978, predictive_accuracy: 0.652, prior_entropy: 0.9852, recall: 0.652, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.6484, kappa: 0.328, kb_relative_information_score: 70.7042, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6978, predictive_accuracy: 0.652, prior_entropy: 0.9852, recall: 0.652, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.6484, kappa: 0.328, kb_relative_information_score: 70.7042, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6978, predictive_accuracy: 0.652, prior_entropy: 0.9852, recall: 0.652, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.6089, kappa: 0.2037, kb_relative_information_score: 18.3927, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6226, predictive_accuracy: 0.628, prior_entropy: 0.9852, recall: 0.628, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7754, kappa: 0.5404, kb_relative_information_score: 80.1557, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7752, predictive_accuracy: 0.776, prior_entropy: 0.9852, recall: 0.776, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.8279, kappa: 0.6483, kb_relative_information_score: 161.3521, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8278, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5798, f_measure: 0.5903, kappa: 0.1608, kb_relative_information_score: 39.8015, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5893, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.291, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.6099, kappa: 0.202, kb_relative_information_score: 56.2829, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6172, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2393, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5798, f_measure: 0.5903, kappa: 0.1608, kb_relative_information_score: 39.8015, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5893, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.291, scimark_benchmark: 1349.5276, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.6099, kappa: 0.202, kb_relative_information_score: 56.2829, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6172, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2393, scimark_benchmark: 1604.0478, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8244, kappa: 0.6422, kb_relative_information_score: 139.8532, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8252, predictive_accuracy: 0.824, prior_entropy: 0.9852, recall: 0.824, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7888, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.6503, kappa: 0.3235, kb_relative_information_score: 47.3993, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6887, predictive_accuracy: 0.652, prior_entropy: 0.9852, recall: 0.652, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9212, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.5718, kappa: 0.1246, kb_relative_information_score: 20.4231, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5766, predictive_accuracy: 0.588, prior_entropy: 0.9852, recall: 0.588, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9724, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, f_measure: 0.575, kappa: 0.1278, kb_relative_information_score: 35.6811, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5752, predictive_accuracy: 0.584, prior_entropy: 0.9852, recall: 0.584, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3035, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.6131, kappa: 0.2064, kb_relative_information_score: 52.1625, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6121, predictive_accuracy: 0.616, prior_entropy: 0.9852, recall: 0.616, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2524, scimark_benchmark: 1339.0417, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6419, f_measure: 0.58, kappa: 0.1382, kb_relative_information_score: 29.7405, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5787, predictive_accuracy: 0.584, prior_entropy: 0.9852, recall: 0.584, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.992, scimark_benchmark: 1185.6218, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8368, kappa: 0.6709, kb_relative_information_score: 140.0208, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8437, predictive_accuracy: 0.836, prior_entropy: 0.9852, recall: 0.836, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6476, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.8087, kappa: 0.6204, kb_relative_information_score: 159.6576, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8298, predictive_accuracy: 0.808, prior_entropy: 0.9852, recall: 0.808, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7193, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.545, kappa: 0.1397, kb_relative_information_score: 33.2799, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.593, predictive_accuracy: 0.552, prior_entropy: 0.9852, recall: 0.552, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5613, root_relative_squared_error: 1.1344, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.6059, kappa: 0.2034, kb_relative_information_score: 21.5352, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6111, predictive_accuracy: 0.604, prior_entropy: 0.9852, recall: 0.604, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.988, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8521, kappa: 0.6981, kb_relative_information_score: 156.9237, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 0.9852, recall: 0.852, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6456, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, f_measure: 0.5903, kappa: 0.1608, kb_relative_information_score: 18.9737, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5893, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0429, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8845, kappa: 0.7656, kb_relative_information_score: 190.1946, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8872, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.8474, kappa: 0.6874, kb_relative_information_score: 171.653, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8477, predictive_accuracy: 0.848, prior_entropy: 0.9852, recall: 0.848, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, f_measure: 0.6821, kappa: 0.3474, kb_relative_information_score: 89.2458, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6854, predictive_accuracy: 0.688, prior_entropy: 0.9852, recall: 0.688, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, f_measure: 0.5899, kappa: 0.1581, kb_relative_information_score: 41.8616, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5893, predictive_accuracy: 0.596, prior_entropy: 0.9852, recall: 0.596, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2846, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.5823, kappa: 0.1443, kb_relative_information_score: 35.6811, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5812, predictive_accuracy: 0.584, prior_entropy: 0.9852, recall: 0.584, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3035, scimark_benchmark: 1779.392, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8599, kappa: 0.7137, kb_relative_information_score: 158.3422, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7032, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.88, kappa: 0.7549, kb_relative_information_score: 166.5155, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9852, recall: 0.88, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6486, scimark_benchmark: 1779.392,

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

OpenML bootcamp

From your own software

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

OpenML APIs