DEVELOPMENT... OpenML
Run
9809

Run 9809

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)_I40
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
0.9901
Per class
F measure
0.9628
Per class
Kappa
0.9178
KB relative information score
625.2062
Mean absolute error
0.0482
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
0.9629
Per class
Predictive accuracy
0.9628
Prior entropy
0.9297
Recall
0.9628
Per class
Relative absolute error
0.1066
Root mean prior squared error
0.4753
Root mean squared error
0.1816
Root relative squared error
0.382
SciMark benchmark
921.1194[557.2653598166264878.6844228389152483.6674820550281916.26709630569521769.7127006129608]