Task
Supervised Classification on cars

Supervised Classification on cars

Task 3547 Supervised Classification cars 164 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_123 under100k under1m
Issue #Downvotes for this reason By


Metric:

164 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.7239, kappa: 0.498, kb_relative_information_score: 0.5193, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7597, predictive_accuracy: 0.7611, prior_entropy: 1.328, recall: 0.7611, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.9421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2361, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.3596, number_of_instances: 406, predictive_accuracy: 0.6256, prior_entropy: 1.328, recall: 0.6256, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.1793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2361, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.3596, number_of_instances: 406, predictive_accuracy: 0.6256, prior_entropy: 1.328, recall: 0.6256, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.1793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2361, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.3596, number_of_instances: 406, predictive_accuracy: 0.6256, prior_entropy: 1.328, recall: 0.6256, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.1793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2361, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.3596, number_of_instances: 406, predictive_accuracy: 0.6256, prior_entropy: 1.328, recall: 0.6256, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.1793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2361, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.3596, number_of_instances: 406, predictive_accuracy: 0.6256, prior_entropy: 1.328, recall: 0.6256, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.1793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2361, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.3596, number_of_instances: 406, predictive_accuracy: 0.6256, prior_entropy: 1.328, recall: 0.6256, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.1793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2361, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.3596, number_of_instances: 406, predictive_accuracy: 0.6256, prior_entropy: 1.328, recall: 0.6256, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.1793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5116, f_measure: 0.4989, kappa: 0.0309, kb_relative_information_score: 0.2513, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.6724, predictive_accuracy: 0.633, prior_entropy: 1.328, recall: 0.633, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.1676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.8092, kappa: 0.6447, kb_relative_information_score: 0.6387, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8062, predictive_accuracy: 0.8153, prior_entropy: 1.328, recall: 0.8153, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.8172, kappa: 0.6604, kb_relative_information_score: 0.6514, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8139, predictive_accuracy: 0.8227, prior_entropy: 1.328, recall: 0.8227, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.8164, kappa: 0.6613, kb_relative_information_score: 0.6534, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8162, predictive_accuracy: 0.8251, prior_entropy: 1.328, recall: 0.8251, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.7239, kappa: 0.498, kb_relative_information_score: 0.5193, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7597, predictive_accuracy: 0.7611, prior_entropy: 1.328, recall: 0.7611, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.9421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.8029, kappa: 0.6341, kb_relative_information_score: 249.4199, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8016, predictive_accuracy: 0.8054, prior_entropy: 1.3317, recall: 0.8054, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.356, root_relative_squared_error: 0.8403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, kappa: 0.4846, kb_relative_information_score: 172.1316, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.3596, number_of_instances: 406, predictive_accuracy: 0.7118, prior_entropy: 1.3317, recall: 0.7118, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.8042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8007, kappa: 0.6267, kb_relative_information_score: 210.2049, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8109, predictive_accuracy: 0.798, prior_entropy: 1.3317, recall: 0.798, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.7072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.7592, kappa: 0.5531, kb_relative_information_score: 217.7608, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7618, predictive_accuracy: 0.7586, prior_entropy: 1.3317, recall: 0.7586, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7616, kappa: 0.558, kb_relative_information_score: 202.1491, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7651, predictive_accuracy: 0.7586, prior_entropy: 1.3317, recall: 0.7586, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.8076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8283, kappa: 0.6811, kb_relative_information_score: 237.2129, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8291, predictive_accuracy: 0.835, prior_entropy: 1.3317, recall: 0.835, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.6791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.6905, kappa: 0.4218, kb_relative_information_score: 148.5062, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.6929, predictive_accuracy: 0.6921, prior_entropy: 1.3317, recall: 0.6921, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5828, f_measure: 0.6013, kappa: 0.2122, kb_relative_information_score: 5.7187, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7904, predictive_accuracy: 0.6847, prior_entropy: 1.3317, recall: 0.6847, relative_absolute_error: 1.032, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4245, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.7901, kappa: 0.6085, kb_relative_information_score: 216.81, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7869, predictive_accuracy: 0.7956, prior_entropy: 1.3317, recall: 0.7956, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5711, f_measure: 0.6399, kappa: 0.2849, kb_relative_information_score: 2.6541, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8004, predictive_accuracy: 0.7069, prior_entropy: 1.3317, recall: 0.7069, relative_absolute_error: 1.0264, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4336, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7795, kappa: 0.5862, kb_relative_information_score: 212.0641, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7769, predictive_accuracy: 0.7857, prior_entropy: 1.3317, recall: 0.7857, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.337, root_relative_squared_error: 0.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.7407, kappa: 0.537, kb_relative_information_score: 210.0592, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7973, predictive_accuracy: 0.7291, prior_entropy: 1.3317, recall: 0.7291, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.358, root_relative_squared_error: 0.8449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8092, kappa: 0.6478, kb_relative_information_score: 256.0293, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8216, predictive_accuracy: 0.803, prior_entropy: 1.3317, recall: 0.803, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.8031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.7859, kappa: 0.6032, kb_relative_information_score: 204.0895, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7924, predictive_accuracy: 0.7808, prior_entropy: 1.3317, recall: 0.7808, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.7065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.7347, kappa: 0.5227, kb_relative_information_score: 196.3165, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7746, predictive_accuracy: 0.7167, prior_entropy: 1.3317, recall: 0.7167, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.8275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8265, kappa: 0.6789, kb_relative_information_score: 258.512, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8298, predictive_accuracy: 0.8251, prior_entropy: 1.3317, recall: 0.8251, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.713, kappa: 0.4989, kb_relative_information_score: 191.4859, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7663, predictive_accuracy: 0.697, prior_entropy: 1.3317, recall: 0.697, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.784, kappa: 0.5939, kb_relative_information_score: 219.9051, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7907, predictive_accuracy: 0.7882, prior_entropy: 1.3317, recall: 0.7882, relative_absolute_error: 0.503, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.7307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.7997, kappa: 0.6286, kb_relative_information_score: 133.7703, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7995, predictive_accuracy: 0.803, prior_entropy: 1.3317, recall: 0.803, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.36, root_relative_squared_error: 0.8498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8283, kappa: 0.6885, kb_relative_information_score: 228.451, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8856, predictive_accuracy: 0.8251, prior_entropy: 1.3317, recall: 0.8251, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.6642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8226, kappa: 0.6641, kb_relative_information_score: 194.9267, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8509, predictive_accuracy: 0.8374, prior_entropy: 1.3317, recall: 0.8374, relative_absolute_error: 0.5846, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.4815, kb_relative_information_score: 0.0297, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.3914, predictive_accuracy: 0.6256, prior_entropy: 1.3317, recall: 0.6256, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4237, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.7814, kappa: 0.5892, kb_relative_information_score: 223.6719, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7792, predictive_accuracy: 0.7882, prior_entropy: 1.3317, recall: 0.7882, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.311, root_relative_squared_error: 0.7341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.796, kappa: 0.6194, kb_relative_information_score: 236.2317, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7939, predictive_accuracy: 0.8005, prior_entropy: 1.3317, recall: 0.8005, relative_absolute_error: 0.4598, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.7202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8052, kappa: 0.6396, kb_relative_information_score: 253.9304, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8021, predictive_accuracy: 0.8103, prior_entropy: 1.3317, recall: 0.8103, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.7187, kappa: 0.5267, kb_relative_information_score: 202.6131, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8739, predictive_accuracy: 0.7241, prior_entropy: 1.3317, recall: 0.7241, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.7511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.7233, kappa: 0.5154, kb_relative_information_score: 194.4336, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7751, predictive_accuracy: 0.7069, prior_entropy: 1.3317, recall: 0.7069, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8224, kappa: 0.6704, kb_relative_information_score: 202.1738, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8239, predictive_accuracy: 0.8227, prior_entropy: 1.3317, recall: 0.8227, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.8219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.8216, kappa: 0.6691, kb_relative_information_score: 152.4629, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8225, predictive_accuracy: 0.8227, prior_entropy: 1.3317, recall: 0.8227, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.7256, kappa: 0.5194, kb_relative_information_score: 195.1307, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7772, predictive_accuracy: 0.7094, prior_entropy: 1.3317, recall: 0.7094, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.7127, kappa: 0.4277, kb_relative_information_score: 176.3265, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8233, predictive_accuracy: 0.7537, prior_entropy: 1.3317, recall: 0.7537, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7922, kappa: 0.6102, kb_relative_information_score: 144.8554, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7954, predictive_accuracy: 0.8005, prior_entropy: 1.3317, recall: 0.8005, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.727, kappa: 0.5224, kb_relative_information_score: 191.8868, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7797, predictive_accuracy: 0.7118, prior_entropy: 1.3317, recall: 0.7118, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7894, kappa: 0.6112, kb_relative_information_score: 142.5176, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7925, predictive_accuracy: 0.798, prior_entropy: 1.3317, recall: 0.798, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.7187, kappa: 0.5267, kb_relative_information_score: 202.725, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8739, predictive_accuracy: 0.7241, prior_entropy: 1.3317, recall: 0.7241, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7431, kappa: 0.5398, kb_relative_information_score: 211.069, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7843, predictive_accuracy: 0.7266, prior_entropy: 1.3317, recall: 0.7266, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.8513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8568, kappa: 0.7351, kb_relative_information_score: 295.3425, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.8572, predictive_accuracy: 0.8571, prior_entropy: 1.3317, recall: 0.8571, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.7285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7421, kappa: 0.5298, kb_relative_information_score: 199.2033, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7747, predictive_accuracy: 0.7291, prior_entropy: 1.3317, recall: 0.7291, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.425, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7652, kappa: 0.5637, kb_relative_information_score: 224.9728, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.763, predictive_accuracy: 0.7685, prior_entropy: 1.3317, recall: 0.7685, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7924, kappa: 0.6162, kb_relative_information_score: 244.8442, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.791, predictive_accuracy: 0.7956, prior_entropy: 1.3317, recall: 0.7956, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.8714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.6137, kappa: 0.2902, kb_relative_information_score: 136.2704, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.5968, predictive_accuracy: 0.6576, prior_entropy: 1.3317, recall: 0.6576, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.1277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.6138, kappa: 0.2843, kb_relative_information_score: 136.54, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.5953, predictive_accuracy: 0.6601, prior_entropy: 1.3317, recall: 0.6601, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.476, root_relative_squared_error: 1.1236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7226, kappa: 0.5121, kb_relative_information_score: 194.817, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7579, predictive_accuracy: 0.7266, prior_entropy: 1.3317, recall: 0.7266, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4269, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7157, kappa: 0.4989, kb_relative_information_score: 188.7415, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7462, predictive_accuracy: 0.7192, prior_entropy: 1.3317, recall: 0.7192, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4327, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.7279, kappa: 0.4994, kb_relative_information_score: 188.3836, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7478, predictive_accuracy: 0.7167, prior_entropy: 1.3317, recall: 0.7167, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4346, root_relative_squared_error: 1.0257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7306, kappa: 0.5047, kb_relative_information_score: 190.3871, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7513, predictive_accuracy: 0.7192, prior_entropy: 1.3317, recall: 0.7192, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4327, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7426, kappa: 0.5368, kb_relative_information_score: 215.5278, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7452, predictive_accuracy: 0.7635, prior_entropy: 1.3317, recall: 0.7635, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7837, kappa: 0.5994, kb_relative_information_score: 238.1306, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7823, predictive_accuracy: 0.7857, prior_entropy: 1.3317, recall: 0.7857, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.378, root_relative_squared_error: 0.8922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7157, kappa: 0.4989, kb_relative_information_score: 188.7415, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7462, predictive_accuracy: 0.7192, prior_entropy: 1.3317, recall: 0.7192, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4327, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7306, kappa: 0.5047, kb_relative_information_score: 190.3871, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7513, predictive_accuracy: 0.7192, prior_entropy: 1.3317, recall: 0.7192, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.4327, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).

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