Task
Supervised Classification on segment

Supervised Classification on segment

Task 146822 Supervised Classification segment 9929 runs submitted
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  • OpenML-CC18 study_218 study_98 study_99
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9929 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.7055, kappa: 0.6581, kb_relative_information_score: 0.6009, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.2449, weighted_recall: 0.7069, number_of_instances: 2310, precision: 0.7149, predictive_accuracy: 0.7069, prior_entropy: 2.8074, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.244, root_relative_squared_error: 0.6974, unweighted_recall: 0.7069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.861, kappa: 0.8374, kb_relative_information_score: 0.824, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8606, number_of_instances: 2310, precision: 0.8628, predictive_accuracy: 0.8606, prior_entropy: 2.8074, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.4966, unweighted_recall: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.5876, kappa: 0.5465, kb_relative_information_score: 0.339, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.2449, weighted_recall: 0.6113, number_of_instances: 2310, precision: 0.6461, predictive_accuracy: 0.6113, prior_entropy: 2.8074, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.8519, unweighted_recall: 0.6113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9232, kappa: 0.9106, kb_relative_information_score: 0.8951, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.2449, weighted_recall: 0.9234, number_of_instances: 2310, precision: 0.9244, predictive_accuracy: 0.9234, prior_entropy: 2.8074, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.3729, unweighted_recall: 0.9234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1364, kb_relative_information_score: 0.0025, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.2449, weighted_recall: 0.1429, number_of_instances: 2310, predictive_accuracy: 0.1429, prior_entropy: 2.8074, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.35, root_relative_squared_error: 1.0002, unweighted_recall: 0.1429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.5876, kappa: 0.5465, kb_relative_information_score: 0.339, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.2449, weighted_recall: 0.6113, number_of_instances: 2310, precision: 0.6461, predictive_accuracy: 0.6113, prior_entropy: 2.8074, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.8519, unweighted_recall: 0.6113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.8914, kappa: 0.8732, kb_relative_information_score: 0.8605, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8913, number_of_instances: 2310, precision: 0.8919, predictive_accuracy: 0.8913, prior_entropy: 2.8074, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.4383, unweighted_recall: 0.8913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8932, kappa: 0.8758, kb_relative_information_score: 0.8518, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8935, number_of_instances: 2310, precision: 0.8936, predictive_accuracy: 0.8935, prior_entropy: 2.8074, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.4496, unweighted_recall: 0.8935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8513, kappa: 0.8313, kb_relative_information_score: 0.8075, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8554, number_of_instances: 2310, precision: 0.8563, predictive_accuracy: 0.8554, prior_entropy: 2.8074, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.5125, unweighted_recall: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8551, kappa: 0.8348, kb_relative_information_score: 0.8136, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8584, number_of_instances: 2310, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 2.8074, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.5071, unweighted_recall: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.799, kappa: 0.7803, kb_relative_information_score: 0.4574, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8117, number_of_instances: 2310, precision: 0.8055, predictive_accuracy: 0.8117, prior_entropy: 2.8074, relative_absolute_error: 0.7259, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.7671, unweighted_recall: 0.8117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8546, kappa: 0.8348, kb_relative_information_score: 0.8122, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8584, number_of_instances: 2310, precision: 0.8596, predictive_accuracy: 0.8584, prior_entropy: 2.8074, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5082, unweighted_recall: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8506, kappa: 0.8303, kb_relative_information_score: 0.8064, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8545, number_of_instances: 2310, precision: 0.8554, predictive_accuracy: 0.8545, prior_entropy: 2.8074, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.514, unweighted_recall: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8728, kappa: 0.8525, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8736, number_of_instances: 2310, precision: 0.873, predictive_accuracy: 0.8736, prior_entropy: 2.8074, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.4817, unweighted_recall: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.8405, kappa: 0.8157, kb_relative_information_score: 0.781, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.2449, weighted_recall: 0.842, number_of_instances: 2310, precision: 0.8409, predictive_accuracy: 0.842, prior_entropy: 2.8074, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.5294, unweighted_recall: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8563, kappa: 0.8359, kb_relative_information_score: 0.8152, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8593, number_of_instances: 2310, precision: 0.8598, predictive_accuracy: 0.8593, prior_entropy: 2.8074, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5061, unweighted_recall: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.849, kappa: 0.8283, kb_relative_information_score: 0.8051, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8528, number_of_instances: 2310, precision: 0.8542, predictive_accuracy: 0.8528, prior_entropy: 2.8074, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.5149, unweighted_recall: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8513, kappa: 0.8313, kb_relative_information_score: 0.8075, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8554, number_of_instances: 2310, precision: 0.8563, predictive_accuracy: 0.8554, prior_entropy: 2.8074, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.5125, unweighted_recall: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8551, kappa: 0.8348, kb_relative_information_score: 0.8136, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8584, number_of_instances: 2310, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 2.8074, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.5071, unweighted_recall: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.799, kappa: 0.7803, kb_relative_information_score: 0.4574, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8117, number_of_instances: 2310, precision: 0.8055, predictive_accuracy: 0.8117, prior_entropy: 2.8074, relative_absolute_error: 0.7259, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.7671, unweighted_recall: 0.8117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8385, kappa: 0.8152, kb_relative_information_score: 0.7314, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8416, number_of_instances: 2310, precision: 0.8425, predictive_accuracy: 0.8416, prior_entropy: 2.8074, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5734, unweighted_recall: 0.8416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.836, kappa: 0.8136, kb_relative_information_score: 0.7111, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8403, number_of_instances: 2310, precision: 0.8409, predictive_accuracy: 0.8403, prior_entropy: 2.8074, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5842, unweighted_recall: 0.8403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.8551, kappa: 0.8348, kb_relative_information_score: 0.814, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8584, number_of_instances: 2310, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 2.8074, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.5069, unweighted_recall: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8428, kappa: 0.8217, kb_relative_information_score: 0.7735, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8472, number_of_instances: 2310, precision: 0.8488, predictive_accuracy: 0.8472, prior_entropy: 2.8074, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.5389, unweighted_recall: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8547, kappa: 0.8338, kb_relative_information_score: 0.81, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8576, number_of_instances: 2310, precision: 0.8579, predictive_accuracy: 0.8576, prior_entropy: 2.8074, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.5129, unweighted_recall: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8546, kappa: 0.8348, kb_relative_information_score: 0.8122, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8584, number_of_instances: 2310, precision: 0.8596, predictive_accuracy: 0.8584, prior_entropy: 2.8074, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5082, unweighted_recall: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8563, kappa: 0.8359, kb_relative_information_score: 0.8152, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8593, number_of_instances: 2310, precision: 0.8598, predictive_accuracy: 0.8593, prior_entropy: 2.8074, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5061, unweighted_recall: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.8444, kappa: 0.8232, kb_relative_information_score: 0.7872, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8485, number_of_instances: 2310, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 2.8074, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5305, unweighted_recall: 0.8485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7609, kappa: 0.7434, kb_relative_information_score: 0.3368, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2449, weighted_recall: 0.7801, number_of_instances: 2310, precision: 0.7733, predictive_accuracy: 0.7801, prior_entropy: 2.8074, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.8455, unweighted_recall: 0.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8506, kappa: 0.8303, kb_relative_information_score: 0.8064, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8545, number_of_instances: 2310, precision: 0.8554, predictive_accuracy: 0.8545, prior_entropy: 2.8074, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.514, unweighted_recall: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8276, kappa: 0.8035, kb_relative_information_score: 0.5903, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8316, number_of_instances: 2310, precision: 0.8313, predictive_accuracy: 0.8316, prior_entropy: 2.8074, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.681, unweighted_recall: 0.8316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8563, kappa: 0.8359, kb_relative_information_score: 0.8152, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8593, number_of_instances: 2310, precision: 0.8598, predictive_accuracy: 0.8593, prior_entropy: 2.8074, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5061, unweighted_recall: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8881, kappa: 0.8702, kb_relative_information_score: 0.8598, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8887, number_of_instances: 2310, precision: 0.8881, predictive_accuracy: 0.8887, prior_entropy: 2.8074, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.4475, unweighted_recall: 0.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8728, kappa: 0.8525, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8736, number_of_instances: 2310, precision: 0.873, predictive_accuracy: 0.8736, prior_entropy: 2.8074, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.4817, unweighted_recall: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8295, kappa: 0.8035, kb_relative_information_score: 0.6536, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8316, number_of_instances: 2310, precision: 0.8302, predictive_accuracy: 0.8316, prior_entropy: 2.8074, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.6319, unweighted_recall: 0.8316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.8405, kappa: 0.8157, kb_relative_information_score: 0.781, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.2449, weighted_recall: 0.842, number_of_instances: 2310, precision: 0.8409, predictive_accuracy: 0.842, prior_entropy: 2.8074, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.5294, unweighted_recall: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7609, kappa: 0.7434, kb_relative_information_score: 0.3368, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2449, weighted_recall: 0.7801, number_of_instances: 2310, precision: 0.7733, predictive_accuracy: 0.7801, prior_entropy: 2.8074, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.8455, unweighted_recall: 0.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8506, kappa: 0.8303, kb_relative_information_score: 0.8064, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8545, number_of_instances: 2310, precision: 0.8554, predictive_accuracy: 0.8545, prior_entropy: 2.8074, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.514, unweighted_recall: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8577, kappa: 0.8374, kb_relative_information_score: 0.8152, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8606, number_of_instances: 2310, precision: 0.8611, predictive_accuracy: 0.8606, prior_entropy: 2.8074, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5062, unweighted_recall: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.8444, kappa: 0.8232, kb_relative_information_score: 0.7872, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8485, number_of_instances: 2310, precision: 0.85, predictive_accuracy: 0.8485, prior_entropy: 2.8074, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5305, unweighted_recall: 0.8485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7609, kappa: 0.7434, kb_relative_information_score: 0.3368, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2449, weighted_recall: 0.7801, number_of_instances: 2310, precision: 0.7733, predictive_accuracy: 0.7801, prior_entropy: 2.8074, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.8455, unweighted_recall: 0.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.842, kappa: 0.8207, kb_relative_information_score: 0.773, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2449, weighted_recall: 0.8463, number_of_instances: 2310, precision: 0.8476, predictive_accuracy: 0.8463, prior_entropy: 2.8074, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.5393, unweighted_recall: 0.8463,

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