OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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66544 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9704, kappa: 0.8838, kb_relative_information_score: 4718.7201, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9708, predictive_accuracy: 0.9711, prior_entropy: 0.6204, recall: 0.9711, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.4373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5283.2097, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9704, kappa: 0.8838, kb_relative_information_score: 4718.7201, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9708, predictive_accuracy: 0.9711, prior_entropy: 0.6204, recall: 0.9711, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.4373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9694, kappa: 0.8797, kb_relative_information_score: 4697.2351, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9699, predictive_accuracy: 0.9701, prior_entropy: 0.6204, recall: 0.9701, relative_absolute_error: 0.2694, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9691, kappa: 0.8785, kb_relative_information_score: 4676.214, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9695, predictive_accuracy: 0.9698, prior_entropy: 0.6204, recall: 0.9698, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9691, kappa: 0.8785, kb_relative_information_score: 4676.214, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9695, predictive_accuracy: 0.9698, prior_entropy: 0.6204, recall: 0.9698, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9723, kappa: 0.892, kb_relative_information_score: 4833.7237, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9725, predictive_accuracy: 0.9729, prior_entropy: 0.6204, recall: 0.9729, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.4273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.971, kappa: 0.8866, kb_relative_information_score: 4763.1198, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9713, predictive_accuracy: 0.9717, prior_entropy: 0.6204, recall: 0.9717, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.4333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9689, kappa: 0.878, kb_relative_information_score: 4655.8049, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9694, predictive_accuracy: 0.9697, prior_entropy: 0.6204, recall: 0.9697, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.16, root_relative_squared_error: 0.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9743, kappa: 0.8999, kb_relative_information_score: 5029.4102, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9744, predictive_accuracy: 0.9747, prior_entropy: 0.6204, recall: 0.9747, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.151, root_relative_squared_error: 0.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9675, kappa: 0.8723, kb_relative_information_score: 4579.8506, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.968, predictive_accuracy: 0.9683, prior_entropy: 0.6204, recall: 0.9683, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.4502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9694, kappa: 0.8797, kb_relative_information_score: 4697.2351, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9699, predictive_accuracy: 0.9701, prior_entropy: 0.6204, recall: 0.9701, relative_absolute_error: 0.2694, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5136.1364, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.971, kappa: 0.8866, kb_relative_information_score: 4763.1198, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9713, predictive_accuracy: 0.9717, prior_entropy: 0.6204, recall: 0.9717, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.4333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5136.1364, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9704, kappa: 0.8838, kb_relative_information_score: 4718.7201, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9708, predictive_accuracy: 0.9711, prior_entropy: 0.6204, recall: 0.9711, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.4373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9673, kappa: 0.8716, kb_relative_information_score: 4562.2416, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9678, predictive_accuracy: 0.9682, prior_entropy: 0.6204, recall: 0.9682, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.4519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9667, kappa: 0.8691, kb_relative_information_score: 4528.704, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9672, predictive_accuracy: 0.9676, prior_entropy: 0.6204, recall: 0.9676, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9731, kappa: 0.8956, kb_relative_information_score: 5056.9705, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.6204, recall: 0.9735, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.4205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9736, kappa: 0.8971, kb_relative_information_score: 4905.4796, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9738, predictive_accuracy: 0.9741, prior_entropy: 0.6204, recall: 0.9741, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.4215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9667, kappa: 0.8691, kb_relative_information_score: 4528.704, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9672, predictive_accuracy: 0.9676, prior_entropy: 0.6204, recall: 0.9676, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9731, kappa: 0.8956, kb_relative_information_score: 5056.9705, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.6204, recall: 0.9735, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.4205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.971, kappa: 0.8866, kb_relative_information_score: 4763.1198, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9713, predictive_accuracy: 0.9717, prior_entropy: 0.6204, recall: 0.9717, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.4333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9673, kappa: 0.8716, kb_relative_information_score: 4562.2416, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9678, predictive_accuracy: 0.9682, prior_entropy: 0.6204, recall: 0.9682, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.4519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9721, kappa: 0.891, kb_relative_information_score: 4856.2201, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9722, predictive_accuracy: 0.9726, prior_entropy: 0.6204, recall: 0.9726, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.4253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5136.1364, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9731, kappa: 0.8956, kb_relative_information_score: 5056.9705, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.6204, recall: 0.9735, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.4205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9681, kappa: 0.8748, kb_relative_information_score: 4635.9244, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9686, predictive_accuracy: 0.9689, prior_entropy: 0.6204, recall: 0.9689, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.4449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9709, kappa: 0.8859, kb_relative_information_score: 4740.7003, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9712, predictive_accuracy: 0.9715, prior_entropy: 0.6204, recall: 0.9715, relative_absolute_error: 0.262, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.4353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9709, kappa: 0.8859, kb_relative_information_score: 4740.7003, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9712, predictive_accuracy: 0.9715, prior_entropy: 0.6204, recall: 0.9715, relative_absolute_error: 0.262, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.4353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9694, kappa: 0.8797, kb_relative_information_score: 4697.2351, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9699, predictive_accuracy: 0.9701, prior_entropy: 0.6204, recall: 0.9701, relative_absolute_error: 0.2694, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5269.7986, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9704, kappa: 0.8838, kb_relative_information_score: 4718.7201, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9708, predictive_accuracy: 0.9711, prior_entropy: 0.6204, recall: 0.9711, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.4373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5136.1364, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9667, kappa: 0.8691, kb_relative_information_score: 4528.704, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9672, predictive_accuracy: 0.9676, prior_entropy: 0.6204, recall: 0.9676, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5136.1364, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5269.7986, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5106.6485, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9678, kappa: 0.8735, kb_relative_information_score: 4616.6352, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9683, predictive_accuracy: 0.9686, prior_entropy: 0.6204, recall: 0.9686, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.4467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9678, kappa: 0.8735, kb_relative_information_score: 4597.9726, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9683, predictive_accuracy: 0.9686, prior_entropy: 0.6204, recall: 0.9686, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.4485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5106.6485, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9731, kappa: 0.8956, kb_relative_information_score: 5056.9705, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.6204, recall: 0.9735, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.4205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9743, kappa: 0.8999, kb_relative_information_score: 5029.4102, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9744, predictive_accuracy: 0.9747, prior_entropy: 0.6204, recall: 0.9747, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.151, root_relative_squared_error: 0.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5283.2097, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.5675,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9586, kappa: 0.8432, kb_relative_information_score: 5106.6485, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9594, predictive_accuracy: 0.958, prior_entropy: 0.6204, recall: 0.958, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.435,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6491.8943, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.025, root_relative_squared_error: 0.0693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6198.5391, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.1408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.8458, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6542.8544, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0239, root_relative_squared_error: 0.0662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6531.5848, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0237, root_relative_squared_error: 0.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6566.368, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0048, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0243, root_relative_squared_error: 0.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6455.1079, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0318, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0272, root_relative_squared_error: 0.0754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.4373, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.7698, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.6201, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.6197, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682,

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

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From your own software

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

OpenML APIs