Run
208258

Run 208258

Task 3785 (Supervised Classification) fri_c2_100_50 Uploaded 27-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_DecisionStump(12)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(12)_P100
weka.AdaBoostM1_DecisionStump(12)_S1
weka.AdaBoostM1_DecisionStump(12)_I80
weka.AdaBoostM1_DecisionStump(12)_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
0.8799
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5895
Cross-validation details (10-fold Crossvalidation)
KB relative information score
58.604
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1987
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4875
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
0.8
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9822
Cross-validation details (10-fold Crossvalidation)
Recall
0.8
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4077
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4936
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4256
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8622
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
908.2231
UserCPU time millis
140
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
140
Cross-validation details (10-fold Crossvalidation)