DEVELOPMENT... OpenML
Run
12818

Run 12818

Task 42 (Supervised Classification) haberman 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
0.6571
Per class
F measure
0.7176
Per class
Kappa
0.2374
KB relative information score
26.6732
Mean absolute error
0.3401
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7136
Per class
Predictive accuracy
0.7418
Prior entropy
0.836
Recall
0.7418
Per class
Relative absolute error
0.8721
Root mean prior squared error
0.4412
Root mean squared error
0.4342
Root relative squared error
0.9841
SciMark benchmark
920.344[562.1142596826567890.8714345097849484.9782432137119893.46966133835541770.2863098224536]