DEVELOPMENT... OpenML
Run
10307

Run 10307

Task 15 (Supervised Classification) breast-w Uploaded 22-05-2014 by Felicia West
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Flow

weka.LogitBoost_DecisionStump(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I160
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9831
Per class
F measure
0.957
Per class
Kappa
0.9048
KB relative information score
625.2564
Mean absolute error
0.0469
Mean prior absolute error
0.452
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.957
Per class
Predictive accuracy
0.9571
Prior entropy
0.9297
Recall
0.9571
Per class
Relative absolute error
0.1038
Root mean prior squared error
0.4753
Root mean squared error
0.1948
Root relative squared error
0.4098
SciMark benchmark
947.5035[566.4958240211141008.8769851701059479.99187728791736912.43991219425081769.7127006129608]