Run
429149

Run 429149

Task 3740 (Supervised Classification) fri_c1_100_50 Uploaded 09-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I160
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
0.845
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.768
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5275
Cross-validation details (10-fold Crossvalidation)
KB relative information score
53.0908
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2295
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4929
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7699
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.77
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.99
Cross-validation details (10-fold Crossvalidation)
Recall
0.77
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4656
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4582
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9231
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
929.0296
UserCPU time millis
290
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
290
Cross-validation details (10-fold Crossvalidation)