Run
435539

Run 435539

Task 63 (Learning Curve) kr-vs-kp Uploaded 12-05-2015 by Joaquin Vanschoren
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Flow

weka.RealAdaBoost_DecisionStump(2)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(2)_P100
weka.RealAdaBoost_DecisionStump(2)_H1.0
weka.RealAdaBoost_DecisionStump(2)_S1
weka.RealAdaBoost_DecisionStump(2)_I40
weka.RealAdaBoost_DecisionStump(2)_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
0.9923 ± 0.0034
Per class
F measure
0.947 ± 0.0128
Per class
Kappa
0.8937 ± 0.0257
KB relative information score
0.8554 ± 0.0275
Mean absolute error
0.0781 ± 0.0147
Mean prior absolute error
0.499 ± 0.0001
Number of instances
31960
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9472 ± 0.0126
Per class
Predictive accuracy
0.947 ± 0.0128
Prior entropy
0.9986 ± 0.0002
Recall
0.947 ± 0.0128
Per class
Relative absolute error
0.1564 ± 0.0294
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.1883 ± 0.0205
Root relative squared error
0.377 ± 0.041
SciMark benchmark
937.5156
UserCPU time millis
80
UserCPU time millis testing
10
UserCPU time millis training
70