Run
132215

Run 132215

Task 3907 (Supervised Classification) mc1 Uploaded 26-12-2014 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_RandomForest(2)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_RandomForest(2)_I80
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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.

21 Evaluation measures

Area under ROC curve
0.8273
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
73.2347
Cross-validation details (10-fold Crossvalidation)
Build memory
1009636099.1845
Cross-validation details (10-fold Crossvalidation)
F measure
0.9945
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.561
Cross-validation details (10-fold Crossvalidation)
KB relative information score
311.6448
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0059
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0144
Cross-validation details (10-fold Crossvalidation)
Number of instances
9466
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
0.9947
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9952
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0622
Cross-validation details (10-fold Crossvalidation)
Recall
0.9952
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4102
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0845
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0687
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8133
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
940.5537