DEVELOPMENT... OpenML
Run
153650

Run 153650

Task 3542 (Supervised Classification) analcatdata_lawsuit Uploaded 10-02-2015 by Felicia West
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Flow

weka.RealAdaBoost_DecisionStump(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RealAdaBoost_DecisionStump(1)_P100
weka.RealAdaBoost_DecisionStump(1)_H1.0
weka.RealAdaBoost_DecisionStump(1)_S1
weka.RealAdaBoost_DecisionStump(1)_I10
weka.RealAdaBoost_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

22 Evaluation measures

Area under ROC curve
0.9831
Per class
F measure
0.9813
Per class
Kappa
0.8616
KB relative information score
200.5089
Mean absolute error
0.0246
Mean prior absolute error
0.1363
Number of instances
264
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9816
Per class
Predictive accuracy
0.9811
Prior entropy
0.385
Recall
0.9811
Per class
Relative absolute error
0.1801
Root mean prior squared error
0.2585
Root mean squared error
0.134
Root relative squared error
0.5184
SciMark benchmark
930.32
UserCPU time millis
10
UserCPU time millis training
10