Run
208127

Run 208127

Task 3653 (Supervised Classification) triazines 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
0.8588
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8046
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5949
Cross-validation details (10-fold Crossvalidation)
KB relative information score
82.8871
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2799
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4854
Cross-validation details (10-fold Crossvalidation)
Number of instances
186
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
0.8058
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8065
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.979
Cross-validation details (10-fold Crossvalidation)
Recall
0.8065
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5766
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4925
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3835
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7786
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
918.0213
UserCPU time millis
110
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
110
Cross-validation details (10-fold Crossvalidation)