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Run
163171

Run 163171

Task 2256 (Supervised Classification) BNG(pendigits) Uploaded 16-02-2015 by Felicia West
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Flow

weka.LogitBoost_DecisionStump(2)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(2)_E1
weka.LogitBoost_DecisionStump(2)_H1.0
weka.LogitBoost_DecisionStump(2)_I160
weka.LogitBoost_DecisionStump(2)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(2)_O1
weka.LogitBoost_DecisionStump(2)_P100
weka.LogitBoost_DecisionStump(2)_S1
weka.LogitBoost_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(2)_Z3.0

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
0.9868
Per class
F measure
0.8611
Per class
Kappa
0.8458
KB relative information score
842072.1562
Mean absolute error
0.0421
Mean prior absolute error
0.18
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8611
Per class
Predictive accuracy
0.8612
Prior entropy
3.3207
Recall
0.8612
Per class
Relative absolute error
0.2341
Root mean prior squared error
0.3
Root mean squared error
0.1418
Root relative squared error
0.4726
SciMark benchmark
911.3823
UserCPU time millis
21764260
UserCPU time millis testing
1920
UserCPU time millis training
21762340