OpenML
Supervised Classification on heart-c

Supervised Classification on heart-c

Task 48 Supervised Classification heart-c 665 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic study_1 study_107 study_41 study_50 under100k under1m
Issue #Downvotes for this reason By


Metric:

665 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.7426, kappa: 0.481, kb_relative_information_score: 136.8138, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7426, predictive_accuracy: 0.7426, prior_entropy: 1.0792, recall: 0.7426, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0155, scimark_benchmark: 917.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.7717, kappa: 0.539, kb_relative_information_score: 133.5846, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7719, predictive_accuracy: 0.7723, prior_entropy: 1.0792, recall: 0.7723, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.8048, kappa: 0.6058, kb_relative_information_score: 34.7476, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8051, predictive_accuracy: 0.8053, prior_entropy: 1.0792, recall: 0.8053, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9234, scimark_benchmark: 944.3005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.7364, kappa: 0.4733, kb_relative_information_score: 91.7383, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7421, predictive_accuracy: 0.736, prior_entropy: 1.0792, recall: 0.736, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.8788, scimark_benchmark: 940.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7524, kappa: 0.5007, kb_relative_information_score: 112.1612, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7523, predictive_accuracy: 0.7525, prior_entropy: 1.0792, recall: 0.7525, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.8394, scimark_benchmark: 950.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.5382, kappa: 0.1743, kb_relative_information_score: 13.5647, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7274, predictive_accuracy: 0.6172, prior_entropy: 1.0792, recall: 0.6172, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.9803, scimark_benchmark: 947.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7687, kappa: 0.5331, kb_relative_information_score: 122.141, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7686, predictive_accuracy: 0.769, prior_entropy: 1.0792, recall: 0.769, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.8395, scimark_benchmark: 920.4933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.452, kappa: 0.0718, kb_relative_information_score: 8.7484, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7199, predictive_accuracy: 0.5743, prior_entropy: 1.0792, recall: 0.5743, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.9928, scimark_benchmark: 911.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5416, f_measure: 0.4735, kappa: 0.0897, kb_relative_information_score: 9.4971, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.6835, predictive_accuracy: 0.5809, prior_entropy: 1.0792, recall: 0.5809, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.9909, scimark_benchmark: 912.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7516, kappa: 0.4983, kb_relative_information_score: 114.8943, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.752, predictive_accuracy: 0.7525, prior_entropy: 1.0792, recall: 0.7525, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.261, root_relative_squared_error: 0.8286, scimark_benchmark: 887.8971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7715, kappa: 0.5384, kb_relative_information_score: 129.7699, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.772, predictive_accuracy: 0.7723, prior_entropy: 1.0792, recall: 0.7723, relative_absolute_error: 0.5692, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.8717, scimark_benchmark: 941.0897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8408, kappa: 0.6783, kb_relative_information_score: 167.8654, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8426, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6947, scimark_benchmark: 911.3161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.782, kappa: 0.5603, kb_relative_information_score: 32.1868, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.782, predictive_accuracy: 0.7822, prior_entropy: 1.0792, recall: 0.7822, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.9305, scimark_benchmark: 949.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.3914, kappa: 0.0079, kb_relative_information_score: 5.7856, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.753, predictive_accuracy: 0.5479, prior_entropy: 1.0792, recall: 0.5479, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.0004, scimark_benchmark: 947.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8408, kappa: 0.6783, kb_relative_information_score: 168.1459, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8426, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.429, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.6934, scimark_benchmark: 948.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.384, kb_relative_information_score: 5.4158, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3154, root_relative_squared_error: 1.0014, scimark_benchmark: 924.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.792, kappa: 0.5806, kb_relative_information_score: 153.0659, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.792, predictive_accuracy: 0.7921, prior_entropy: 1.0792, recall: 0.7921, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.8577, scimark_benchmark: 949.5351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7356, kappa: 0.4665, kb_relative_information_score: 134.0206, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7355, predictive_accuracy: 0.736, prior_entropy: 1.0792, recall: 0.736, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.325, root_relative_squared_error: 1.0317, scimark_benchmark: 910.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.753, kappa: 0.5048, kb_relative_information_score: 104.7726, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7562, predictive_accuracy: 0.7525, prior_entropy: 1.0792, recall: 0.7525, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.8607, scimark_benchmark: 915.9564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8271, kappa: 0.6507, kb_relative_information_score: 134.3414, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8305, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.7294, scimark_benchmark: 943.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.743, kappa: 0.4835, kb_relative_information_score: 98.2918, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7445, predictive_accuracy: 0.7426, prior_entropy: 1.0792, recall: 0.7426, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.8725, scimark_benchmark: 929.6033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7955, kappa: 0.588, kb_relative_information_score: 160.8761, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7957, predictive_accuracy: 0.7954, prior_entropy: 1.0792, recall: 0.7954, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.8518, scimark_benchmark: 939.7088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.413, kappa: 0.0315, kb_relative_information_score: 6.8949, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.756, predictive_accuracy: 0.5578, prior_entropy: 1.0792, recall: 0.5578, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.9976, scimark_benchmark: 939.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8246, kappa: 0.6459, kb_relative_information_score: 160.1304, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8251, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.225, root_relative_squared_error: 0.7144, scimark_benchmark: 947.7355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.6787, kappa: 0.3661, kb_relative_information_score: 22.5037, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7201, predictive_accuracy: 0.6964, prior_entropy: 1.0792, recall: 0.6964, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.9567, scimark_benchmark: 948.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7881, kappa: 0.5721, kb_relative_information_score: 32.908, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7886, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.9285, scimark_benchmark: 916.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7356, kappa: 0.4665, kb_relative_information_score: 134.0206, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7355, predictive_accuracy: 0.736, prior_entropy: 1.0792, recall: 0.736, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.325, root_relative_squared_error: 1.0317, scimark_benchmark: 919.3444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8231, kappa: 0.6429, kb_relative_information_score: 123.8173, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8294, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.7286, scimark_benchmark: 919.7167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.7004, kappa: 0.4038, kb_relative_information_score: 24.3617, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7297, predictive_accuracy: 0.7129, prior_entropy: 1.0792, recall: 0.7129, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9517, scimark_benchmark: 947.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8284, kappa: 0.654, kb_relative_information_score: 37.336, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8284, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9161, scimark_benchmark: 916.6159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.384, kb_relative_information_score: 5.4158, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3154, root_relative_squared_error: 1.0014, scimark_benchmark: 949.2413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.8345, kappa: 0.6657, kb_relative_information_score: 38.0526, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8351, predictive_accuracy: 0.835, prior_entropy: 1.0792, recall: 0.835, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9141, scimark_benchmark: 948.7707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8312, kappa: 0.6593, kb_relative_information_score: 154.1439, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8317, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.4778, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.7293, scimark_benchmark: 944.2291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7955, kappa: 0.588, kb_relative_information_score: 160.8761, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7957, predictive_accuracy: 0.7954, prior_entropy: 1.0792, recall: 0.7954, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.8518, scimark_benchmark: 945.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.749, kappa: 0.4937, kb_relative_information_score: 110.1353, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7489, predictive_accuracy: 0.7492, prior_entropy: 1.0792, recall: 0.7492, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.8403, scimark_benchmark: 921.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.7594, kappa: 0.5157, kb_relative_information_score: 29.6306, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7601, predictive_accuracy: 0.7591, prior_entropy: 1.0792, recall: 0.7591, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.9377, scimark_benchmark: 947.2903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7741, kappa: 0.5438, kb_relative_information_score: 143.7551, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7761, predictive_accuracy: 0.7756, prior_entropy: 1.0792, recall: 0.7756, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.814, scimark_benchmark: 920.0687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.671, kappa: 0.3564, kb_relative_information_score: 22.1201, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7256, predictive_accuracy: 0.6931, prior_entropy: 1.0792, recall: 0.6931, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.9577, scimark_benchmark: 948.4192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8375, kappa: 0.6718, kb_relative_information_score: 38.4132, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.839, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.913, scimark_benchmark: 923.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.6787, kappa: 0.3661, kb_relative_information_score: 22.5037, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7201, predictive_accuracy: 0.6964, prior_entropy: 1.0792, recall: 0.6964, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.9567, scimark_benchmark: 910.3395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8408, kappa: 0.6783, kb_relative_information_score: 167.8654, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8426, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6947, scimark_benchmark: 949.9531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.7842, kappa: 0.5642, kb_relative_information_score: 156.9182, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.786, predictive_accuracy: 0.7855, prior_entropy: 1.0792, recall: 0.7855, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.7934, scimark_benchmark: 945.0233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7616, kappa: 0.5187, kb_relative_information_score: 120.229, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.762, predictive_accuracy: 0.7624, prior_entropy: 1.0792, recall: 0.7624, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.8165, scimark_benchmark: 942.1306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8186, kappa: 0.6347, kb_relative_information_score: 156.9296, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8189, predictive_accuracy: 0.8185, prior_entropy: 1.0792, recall: 0.8185, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.7039, scimark_benchmark: 910.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8053, kappa: 0.6077, kb_relative_information_score: 34.766, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8054, predictive_accuracy: 0.8053, prior_entropy: 1.0792, recall: 0.8053, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9234, scimark_benchmark: 946.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5501, f_measure: 0.5547, kappa: 0.1018, kb_relative_information_score: 35.1941, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.5559, predictive_accuracy: 0.5611, prior_entropy: 1.0792, recall: 0.5611, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.419, root_relative_squared_error: 1.3302, scimark_benchmark: 884.8427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7356, kappa: 0.4665, kb_relative_information_score: 134.0206, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7355, predictive_accuracy: 0.736, prior_entropy: 1.0792, recall: 0.736, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.325, root_relative_squared_error: 1.0317, scimark_benchmark: 946.3611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.792, kappa: 0.5806, kb_relative_information_score: 154.6636, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.792, predictive_accuracy: 0.7921, prior_entropy: 1.0792, recall: 0.7921, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8552, scimark_benchmark: 909.9517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8153, kappa: 0.6278, kb_relative_information_score: 174.5575, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8155, predictive_accuracy: 0.8152, prior_entropy: 1.0792, recall: 0.8152, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.7982, scimark_benchmark: 946.7446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8083, kappa: 0.6132, kb_relative_information_score: 166.3871, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8083, predictive_accuracy: 0.8086, prior_entropy: 1.0792, recall: 0.8086, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.8371, scimark_benchmark: 908.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.8117, kappa: 0.6201, kb_relative_information_score: 142.1622, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8117, predictive_accuracy: 0.8119, prior_entropy: 1.0792, recall: 0.8119, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.7255, scimark_benchmark: 946.1618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.7548, kappa: 0.5047, kb_relative_information_score: 134.3264, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7554, predictive_accuracy: 0.7558, prior_entropy: 1.0792, recall: 0.7558, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.9032, scimark_benchmark: 904.4372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7587, kappa: 0.5129, kb_relative_information_score: 54.0194, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7586, predictive_accuracy: 0.7591, prior_entropy: 1.0792, recall: 0.7591, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8553, scimark_benchmark: 947.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8211, kappa: 0.6386, kb_relative_information_score: 144.009, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8221, predictive_accuracy: 0.8218, prior_entropy: 1.0792, recall: 0.8218, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.726, scimark_benchmark: 945.3486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.828, kappa: 0.6528, kb_relative_information_score: 182.7898, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.7213, scimark_benchmark: 943.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.7683, kappa: 0.532, kb_relative_information_score: 148.467, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7686, predictive_accuracy: 0.769, prior_entropy: 1.0792, recall: 0.769, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9566, scimark_benchmark: 2006.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.384, kb_relative_information_score: -0.4664, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.315, root_relative_squared_error: 1.0001, scimark_benchmark: 2007.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7862, kappa: 0.5685, kb_relative_information_score: 131.0319, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7923, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8319, scimark_benchmark: 2022.2935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8348, kappa: 0.6665, kb_relative_information_score: 38.0618, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8348, predictive_accuracy: 0.835, prior_entropy: 1.0792, recall: 0.835, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9141, scimark_benchmark: 2020.4943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.7356, kappa: 0.4665, kb_relative_information_score: 83.1903, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7355, predictive_accuracy: 0.736, prior_entropy: 1.0792, recall: 0.736, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.8955, scimark_benchmark: 1988.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7669, kappa: 0.5292, kb_relative_information_score: 128.148, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7704, predictive_accuracy: 0.769, prior_entropy: 1.0792, recall: 0.769, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.8455, scimark_benchmark: 1998.4339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8381, kappa: 0.6734, kb_relative_information_score: 176.78, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8381, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.7204, scimark_benchmark: 1994.4592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8402, kappa: 0.6772, kb_relative_information_score: 38.7645, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8449, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.912, scimark_benchmark: 1978.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.828, kappa: 0.6528, kb_relative_information_score: 182.7898, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8283, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.7213, scimark_benchmark: 1988.2868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7356, kappa: 0.4665, kb_relative_information_score: 134.0206, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7355, predictive_accuracy: 0.736, prior_entropy: 1.0792, recall: 0.736, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.325, root_relative_squared_error: 1.0317, scimark_benchmark: 1997.7229,

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