Run
435533

Run 435533

Task 86 (Learning Curve) colic 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
0.8468 ± 0.0667
Per class
F measure
0.8115 ± 0.0607
Per class
Kappa
0.5945 ± 0.1301
KB relative information score
0.474 ± 0.0936
Mean absolute error
0.2514 ± 0.0406
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8111 ± 0.0597
Per class
Predictive accuracy
0.812 ± 0.0584
Prior entropy
0.9503 ± 0.0087
Recall
0.812 ± 0.0584
Per class
Relative absolute error
0.5393 ± 0.0863
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.3829 ± 0.0519
Root relative squared error
0.7932 ± 0.1066
SciMark benchmark
903.7946
UserCPU time millis
10
UserCPU time millis training
10