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OpenML
Task
Supervised Classification on lymphoma_11classes

Supervised Classification on lymphoma_11classes

Task 3943 Supervised Classification lymphoma_11classes 167 runs submitted
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Visibility: Public
  • study_1 study_41 under100k under1m
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167 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.4938, kappa: 0.4449, kb_relative_information_score: 53.8154, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.538, predictive_accuracy: 0.5521, prior_entropy: 3.0892, recall: 0.5521, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.8014, scimark_benchmark: 939.5088, usercpu_time_millis: 660, usercpu_time_millis_testing: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.7035, kappa: 0.7067, kb_relative_information_score: 13.7162, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6755, predictive_accuracy: 0.7604, prior_entropy: 3.0892, recall: 0.7604, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9677, scimark_benchmark: 938.9967, usercpu_time_millis: 2620, usercpu_time_millis_testing: 2260, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9231, kappa: 0.9256, kb_relative_information_score: 18.252, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.9097, predictive_accuracy: 0.9375, prior_entropy: 3.0892, recall: 0.9375, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.9537, scimark_benchmark: 1250.8301, usercpu_time_millis: 490, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8103, kappa: 0.8008, kb_relative_information_score: 74.5682, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7929, predictive_accuracy: 0.8333, prior_entropy: 3.0892, recall: 0.8333, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.571, scimark_benchmark: 1250.8301, usercpu_time_millis: 7970, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 7900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8896, kappa: 0.8771, kb_relative_information_score: 83.0917, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.8905, predictive_accuracy: 0.8958, prior_entropy: 3.0892, recall: 0.8958, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.4958, scimark_benchmark: 942.6843, usercpu_time_millis: 1280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8226, kappa: 0.8374, kb_relative_information_score: 75.0391, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7862, predictive_accuracy: 0.8646, prior_entropy: 3.0892, recall: 0.8646, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5653, scimark_benchmark: 1372.2145, usercpu_time_millis: 3310, usercpu_time_millis_testing: 1560, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.782, kappa: 0.7605, kb_relative_information_score: 51.7762, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.782, predictive_accuracy: 0.8021, prior_entropy: 3.0892, recall: 0.8021, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.708, scimark_benchmark: 1330.0694, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.4557, kappa: 0.3576, kb_relative_information_score: 37.4544, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.4628, predictive_accuracy: 0.4583, prior_entropy: 3.0892, recall: 0.4583, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.3036, root_relative_squared_error: 1.0939, scimark_benchmark: 1313.5726, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.5207, kappa: 0.4709, kb_relative_information_score: 42.1998, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.4975, predictive_accuracy: 0.5625, prior_entropy: 3.0892, recall: 0.5625, relative_absolute_error: 0.634, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.8857, scimark_benchmark: 1361.1055, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.5815, kappa: 0.5175, kb_relative_information_score: 50.9426, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.5783, predictive_accuracy: 0.5938, prior_entropy: 3.0892, recall: 0.5938, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.8829, scimark_benchmark: 1290.1085, usercpu_time_millis: 3770, usercpu_time_millis_training: 3770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.7132, kappa: 0.6951, kb_relative_information_score: 63.4205, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7066, predictive_accuracy: 0.75, prior_entropy: 3.0892, recall: 0.75, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.7681, scimark_benchmark: 1319.6463, usercpu_time_millis: 1640, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0855, kb_relative_information_score: 11.0064, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.0525, predictive_accuracy: 0.2292, prior_entropy: 3.0892, recall: 0.2292, relative_absolute_error: 0.9035, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.3744, root_relative_squared_error: 1.3488, scimark_benchmark: 1380.0066, usercpu_time_millis: 180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.597, kappa: 0.5427, kb_relative_information_score: 53.8401, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.593, predictive_accuracy: 0.6146, prior_entropy: 3.0892, recall: 0.6146, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.9237, scimark_benchmark: 1358.4523, usercpu_time_millis: 680, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5887, f_measure: 0.2974, kappa: 0.1806, kb_relative_information_score: 22.1811, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.2706, predictive_accuracy: 0.3333, prior_entropy: 3.0892, recall: 0.3333, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.3482, root_relative_squared_error: 1.2543, scimark_benchmark: 1465.2979, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5362, kappa: 0.4753, kb_relative_information_score: 46.3293, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.5499, predictive_accuracy: 0.5521, prior_entropy: 3.0892, recall: 0.5521, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2854, root_relative_squared_error: 1.0282, scimark_benchmark: 1392.1129, usercpu_time_millis: 2140, usercpu_time_millis_training: 2140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3959, f_measure: 0.1283, kappa: -0.0367, kb_relative_information_score: -0.0401, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.0967, predictive_accuracy: 0.2083, prior_entropy: 3.0892, recall: 0.2083, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2782, root_relative_squared_error: 1.0023, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.6622, kappa: 0.6042, kb_relative_information_score: 57.3497, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6687, predictive_accuracy: 0.6667, prior_entropy: 3.0892, recall: 0.6667, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.8642, scimark_benchmark: 1466.6185, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.6901, kappa: 0.6518, kb_relative_information_score: 59.1908, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.728, predictive_accuracy: 0.7188, prior_entropy: 3.0892, recall: 0.7188, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.8147, scimark_benchmark: 889.9795, usercpu_time_millis: 2110, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.6901, kappa: 0.6518, kb_relative_information_score: 59.1908, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.728, predictive_accuracy: 0.7188, prior_entropy: 3.0892, recall: 0.7188, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.8147, scimark_benchmark: 945.7621, usercpu_time_millis: 2220, usercpu_time_millis_testing: 1060, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.6901, kappa: 0.6518, kb_relative_information_score: 59.1908, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.728, predictive_accuracy: 0.7188, prior_entropy: 3.0892, recall: 0.7188, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.8147, scimark_benchmark: 942.3168, usercpu_time_millis: 2130, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.6901, kappa: 0.6518, kb_relative_information_score: 59.1908, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.728, predictive_accuracy: 0.7188, prior_entropy: 3.0892, recall: 0.7188, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.8147, scimark_benchmark: 939.7623, usercpu_time_millis: 2130, usercpu_time_millis_testing: 1030, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.2205, kappa: 0.0987, kb_relative_information_score: 24.4365, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.1952, predictive_accuracy: 0.2604, prior_entropy: 3.0892, recall: 0.2604, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9688, scimark_benchmark: 939.7623, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.2205, kappa: 0.0987, kb_relative_information_score: 24.4365, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.1952, predictive_accuracy: 0.2604, prior_entropy: 3.0892, recall: 0.2604, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9688, scimark_benchmark: 943.2817, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.2205, kappa: 0.0987, kb_relative_information_score: 24.4365, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.1952, predictive_accuracy: 0.2604, prior_entropy: 3.0892, recall: 0.2604, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9688, scimark_benchmark: 876.8277, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.2205, kappa: 0.0987, kb_relative_information_score: 24.4365, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.1952, predictive_accuracy: 0.2604, prior_entropy: 3.0892, recall: 0.2604, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9688, scimark_benchmark: 936.6206, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.2205, kappa: 0.0987, kb_relative_information_score: 24.4365, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.1952, predictive_accuracy: 0.2604, prior_entropy: 3.0892, recall: 0.2604, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9688, scimark_benchmark: 938.4285, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.3447, kappa: 0.2285, kb_relative_information_score: 23.3547, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.3722, predictive_accuracy: 0.3333, prior_entropy: 3.0892, recall: 0.3333, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.3479, root_relative_squared_error: 1.2532, scimark_benchmark: 923.7642, usercpu_time_millis: 115650, usercpu_time_millis_training: 115650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.38, kappa: 0.2706, kb_relative_information_score: 27.7688, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.3914, predictive_accuracy: 0.375, prior_entropy: 3.0892, recall: 0.375, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.334, root_relative_squared_error: 1.2032, scimark_benchmark: 943.2817, usercpu_time_millis: 58870, usercpu_time_millis_training: 58870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.6152, kappa: 0.5426, kb_relative_information_score: 51.0366, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6277, predictive_accuracy: 0.6146, prior_entropy: 3.0892, recall: 0.6146, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.9274, scimark_benchmark: 934.5243, usercpu_time_millis: 32690, usercpu_time_millis_training: 32690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.7159, kappa: 0.6853, kb_relative_information_score: 63.1349, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7056, predictive_accuracy: 0.7396, prior_entropy: 3.0892, recall: 0.7396, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.7568, scimark_benchmark: 934.5243, usercpu_time_millis: 16890, usercpu_time_millis_training: 16890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.6851, kappa: 0.648, kb_relative_information_score: 60.5178, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6755, predictive_accuracy: 0.7083, prior_entropy: 3.0892, recall: 0.7083, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.7619, scimark_benchmark: 931.2336, usercpu_time_millis: 7870, usercpu_time_millis_training: 7870,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.6767, kappa: 0.6213, kb_relative_information_score: 49.9096, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7044, predictive_accuracy: 0.6875, prior_entropy: 3.0892, recall: 0.6875, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.7505, scimark_benchmark: 902.4773, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3959, f_measure: 0.1283, kappa: -0.0367, kb_relative_information_score: -0.0401, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.0967, predictive_accuracy: 0.2083, prior_entropy: 3.0892, recall: 0.2083, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2782, root_relative_squared_error: 1.0023, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.6564, kappa: 0.5993, kb_relative_information_score: 57.84, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.659, predictive_accuracy: 0.6667, prior_entropy: 3.0892, recall: 0.6667, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.7615, scimark_benchmark: 938.9865, usercpu_time_millis: 2400, usercpu_time_millis_training: 2400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4817, f_measure: 0.1283, kappa: -0.0367, kb_relative_information_score: 9.1444, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.0967, predictive_accuracy: 0.2083, prior_entropy: 3.0892, recall: 0.2083, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.3669, scimark_benchmark: 901.0726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.6879, kappa: 0.6484, kb_relative_information_score: 48.0112, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.6777, predictive_accuracy: 0.7083, prior_entropy: 3.0892, recall: 0.7083, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.7598, scimark_benchmark: 902.4773, usercpu_time_millis: 5790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.7974, kappa: 0.7661, kb_relative_information_score: 53.9726, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.798, predictive_accuracy: 0.8021, prior_entropy: 3.0892, recall: 0.8021, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.6823, scimark_benchmark: 918.4924, usercpu_time_millis: 33570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 33560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6195, f_measure: 0.1779, kappa: 0.078, kb_relative_information_score: 10.891, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.1312, predictive_accuracy: 0.2917, prior_entropy: 3.0892, recall: 0.2917, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.9923, scimark_benchmark: 917.7039, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9231, kappa: 0.9256, kb_relative_information_score: 18.252, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.9097, predictive_accuracy: 0.9375, prior_entropy: 3.0892, recall: 0.9375, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.9537, scimark_benchmark: 934.5243, usercpu_time_millis: 1290, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8075, kappa: 0.7888, kb_relative_information_score: 71.4072, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.8117, predictive_accuracy: 0.8229, prior_entropy: 3.0892, recall: 0.8229, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.64, scimark_benchmark: 936.6206, usercpu_time_millis: 140320, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.7057, kappa: 0.6735, kb_relative_information_score: 64.138, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.697, predictive_accuracy: 0.7292, prior_entropy: 3.0892, recall: 0.7292, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.6612, scimark_benchmark: 770.3451, usercpu_time_millis: 35470, usercpu_time_millis_training: 35470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, build_cpu_time: 12.1535, build_memory: 1544635499, f_measure: 0.7506, kappa: 0.7611, kb_relative_information_score: 56.6367, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7215, predictive_accuracy: 0.8021, prior_entropy: 3.0892, recall: 0.8021, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6654, scimark_benchmark: 945.1396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, build_cpu_time: 10.4767, build_memory: 67456578.25, f_measure: 0.7506, kappa: 0.7611, kb_relative_information_score: 56.6367, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7215, predictive_accuracy: 0.8021, prior_entropy: 3.0892, recall: 0.8021, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6654, scimark_benchmark: 945.7374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, build_cpu_time: 5.4162, build_memory: 3708723615.1667, f_measure: 0.7629, kappa: 0.7496, kb_relative_information_score: 55.5624, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7455, predictive_accuracy: 0.7917, prior_entropy: 3.0892, recall: 0.7917, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.6859, scimark_benchmark: 906.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, build_cpu_time: 4.8343, build_memory: 1188500707.1667, f_measure: 0.7629, kappa: 0.7496, kb_relative_information_score: 55.5624, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1551, number_of_instances: 96, precision: 0.7455, predictive_accuracy: 0.7917, prior_entropy: 3.0892, recall: 0.7917, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.2776, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.6859, scimark_benchmark: 946.0187,

    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