OpenML
Supervised Classification on hip

Supervised Classification on hip

Task 4466 Supervised Classification hip 239 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8407, kappa: 0.681, kb_relative_information_score: 298.3874, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8407, predictive_accuracy: 0.8407, prior_entropy: 0.9991, recall: 0.8407, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.6697, scimark_benchmark: 1308.685, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7397, kappa: 0.4789, kb_relative_information_score: 202.8276, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7421, predictive_accuracy: 0.7407, prior_entropy: 0.9991, recall: 0.7407, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8805, scimark_benchmark: 1332.1612, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7607, kappa: 0.5206, kb_relative_information_score: 260.6474, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7614, predictive_accuracy: 0.7611, prior_entropy: 0.9991, recall: 0.7611, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8076, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7607, kappa: 0.5206, kb_relative_information_score: 260.6474, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7614, predictive_accuracy: 0.7611, prior_entropy: 0.9991, recall: 0.7611, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8076, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7476, kappa: 0.4944, kb_relative_information_score: 178.1264, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7486, predictive_accuracy: 0.7481, prior_entropy: 0.9991, recall: 0.7481, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8333, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8407, kappa: 0.681, kb_relative_information_score: 298.3874, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8407, predictive_accuracy: 0.8407, prior_entropy: 0.9991, recall: 0.8407, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.6697, scimark_benchmark: 1332.9478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 1335.3312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7397, kappa: 0.4789, kb_relative_information_score: 202.8276, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7421, predictive_accuracy: 0.7407, prior_entropy: 0.9991, recall: 0.7407, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8805, scimark_benchmark: 1324.8408, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.796, kappa: 0.5912, kb_relative_information_score: 255.4798, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7967, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7396, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7345, kappa: 0.4701, kb_relative_information_score: 223.1796, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7419, predictive_accuracy: 0.737, prior_entropy: 0.9991, recall: 0.737, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8437, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8241, kappa: 0.6478, kb_relative_information_score: 321.2721, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8242, predictive_accuracy: 0.8241, prior_entropy: 0.9991, recall: 0.8241, relative_absolute_error: 0.4212, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7069, scimark_benchmark: 1320.2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7884, kappa: 0.5762, kb_relative_information_score: 228.6037, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7897, predictive_accuracy: 0.7889, prior_entropy: 0.9991, recall: 0.7889, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8116, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7436, kappa: 0.4866, kb_relative_information_score: 243.9258, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7453, predictive_accuracy: 0.7444, prior_entropy: 0.9991, recall: 0.7444, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8948, scimark_benchmark: 1346.0226,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7476, kappa: 0.4944, kb_relative_information_score: 178.1264, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7486, predictive_accuracy: 0.7481, prior_entropy: 0.9991, recall: 0.7481, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8333, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7397, kappa: 0.4789, kb_relative_information_score: 202.8276, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7421, predictive_accuracy: 0.7407, prior_entropy: 0.9991, recall: 0.7407, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8805, scimark_benchmark: 1332.9478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7345, kappa: 0.4701, kb_relative_information_score: 223.1796, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7419, predictive_accuracy: 0.737, prior_entropy: 0.9991, recall: 0.737, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8437, scimark_benchmark: 1344.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5438, f_measure: 0.464, kappa: 0.0903, kb_relative_information_score: 63.086, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.6423, predictive_accuracy: 0.5593, prior_entropy: 0.9991, recall: 0.5593, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6639, root_relative_squared_error: 1.3287, scimark_benchmark: 1365.0842, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5438, f_measure: 0.464, kappa: 0.0903, kb_relative_information_score: 63.086, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.6423, predictive_accuracy: 0.5593, prior_entropy: 0.9991, recall: 0.5593, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6639, root_relative_squared_error: 1.3287, scimark_benchmark: 1350.1007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7397, kappa: 0.4789, kb_relative_information_score: 202.8276, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7421, predictive_accuracy: 0.7407, prior_entropy: 0.9991, recall: 0.7407, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8805, scimark_benchmark: 1326.3935, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5438, f_measure: 0.464, kappa: 0.0903, kb_relative_information_score: 63.086, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.6423, predictive_accuracy: 0.5593, prior_entropy: 0.9991, recall: 0.5593, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6639, root_relative_squared_error: 1.3287, scimark_benchmark: 1287.9613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7607, kappa: 0.5206, kb_relative_information_score: 260.6474, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7614, predictive_accuracy: 0.7611, prior_entropy: 0.9991, recall: 0.7611, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8076, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 1297.2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7397, kappa: 0.4789, kb_relative_information_score: 202.8276, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7421, predictive_accuracy: 0.7407, prior_entropy: 0.9991, recall: 0.7407, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8805, scimark_benchmark: 1344.4042, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8389, kappa: 0.6772, kb_relative_information_score: 324.2005, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8389, predictive_accuracy: 0.8389, prior_entropy: 0.9991, recall: 0.8389, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7224, scimark_benchmark: 1331.5882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7607, kappa: 0.5206, kb_relative_information_score: 260.6474, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7614, predictive_accuracy: 0.7611, prior_entropy: 0.9991, recall: 0.7611, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8076, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7607, kappa: 0.5206, kb_relative_information_score: 260.6474, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7614, predictive_accuracy: 0.7611, prior_entropy: 0.9991, recall: 0.7611, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8076, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7884, kappa: 0.5762, kb_relative_information_score: 228.6037, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7897, predictive_accuracy: 0.7889, prior_entropy: 0.9991, recall: 0.7889, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8116, scimark_benchmark: 1315.2176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7667, kappa: 0.5339, kb_relative_information_score: 260.7087, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.773, predictive_accuracy: 0.7685, prior_entropy: 0.9991, recall: 0.7685, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8006, scimark_benchmark: 1354.3488,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.697, kappa: 0.3934, kb_relative_information_score: 196.1151, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.6988, predictive_accuracy: 0.6981, prior_entropy: 0.9991, recall: 0.6981, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9664, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.632, f_measure: 0.6732, kappa: 0.3644, kb_relative_information_score: 134.6156, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7133, predictive_accuracy: 0.687, prior_entropy: 0.9991, recall: 0.687, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9127, scimark_benchmark: 1307.2114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.7124, kappa: 0.4257, kb_relative_information_score: 188.7835, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7181, predictive_accuracy: 0.7148, prior_entropy: 0.9991, recall: 0.7148, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9191, scimark_benchmark: 1327.9952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7436, kappa: 0.4866, kb_relative_information_score: 243.9258, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7453, predictive_accuracy: 0.7444, prior_entropy: 0.9991, recall: 0.7444, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8948, scimark_benchmark: 1334.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.7436, kappa: 0.4866, kb_relative_information_score: 243.0161, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7453, predictive_accuracy: 0.7444, prior_entropy: 0.9991, recall: 0.7444, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.8978, scimark_benchmark: 899.5042, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7554, kappa: 0.514, kb_relative_information_score: 161.5923, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.77, predictive_accuracy: 0.7593, prior_entropy: 0.9991, recall: 0.7593, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.819, scimark_benchmark: 1361.2664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8424, kappa: 0.6842, kb_relative_information_score: 340.506, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8431, predictive_accuracy: 0.8426, prior_entropy: 0.9991, recall: 0.8426, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7001, scimark_benchmark: 1332.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7624, kappa: 0.5241, kb_relative_information_score: 188.1142, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7636, predictive_accuracy: 0.763, prior_entropy: 0.9991, recall: 0.763, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8043, scimark_benchmark: 1329.4192, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.7293, kappa: 0.4576, kb_relative_information_score: 220.6805, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7296, predictive_accuracy: 0.7296, prior_entropy: 0.9991, recall: 0.7296, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9675, scimark_benchmark: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4231, f_measure: 0.3541, kb_relative_information_score: -1.5941, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.2689, predictive_accuracy: 0.5185, prior_entropy: 0.9991, recall: 0.5185, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0022, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8377, kappa: 0.6757, kb_relative_information_score: 328.7571, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8446, predictive_accuracy: 0.8389, prior_entropy: 0.9991, recall: 0.8389, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7145, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7454, kappa: 0.4949, kb_relative_information_score: 161.4871, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7624, predictive_accuracy: 0.75, prior_entropy: 0.9991, recall: 0.75, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8201, scimark_benchmark: 860.584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7462, kappa: 0.4954, kb_relative_information_score: 164.1645, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7598, predictive_accuracy: 0.75, prior_entropy: 0.9991, recall: 0.75, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8214, scimark_benchmark: 1299.5783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8459, kappa: 0.6914, kb_relative_information_score: 356.8432, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 0.9991, recall: 0.8463, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7226, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7714, kappa: 0.5424, kb_relative_information_score: 185.5163, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7735, predictive_accuracy: 0.7722, prior_entropy: 0.9991, recall: 0.7722, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8101, scimark_benchmark: 882.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7583, kappa: 0.5161, kb_relative_information_score: 183.1984, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4993, number_of_instances: 540, precision: 0.7608, predictive_accuracy: 0.7593, prior_entropy: 0.9991, recall: 0.7593, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8172, scimark_benchmark: 1321.527,

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