Run
132285

Run 132285

Task 237 (Supervised Classification) audiology 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)_I40
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
0.9224
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.107
Cross-validation details (33% Holdout set)
Build memory
1834359824
Cross-validation details (33% Holdout set)
F measure
0.641
Per class
Cross-validation details (33% Holdout set)
Kappa
0.6427
Cross-validation details (33% Holdout set)
KB relative information score
41.7472
Cross-validation details (33% Holdout set)
Mean absolute error
0.0408
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.0736
Cross-validation details (33% Holdout set)
Number of instances
74
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.6267
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6892
Cross-validation details (33% Holdout set)
Prior entropy
3.6349
Cross-validation details (33% Holdout set)
Recall
0.6892
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.5544
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.1925
Cross-validation details (33% Holdout set)
Root mean squared error
0.1365
Cross-validation details (33% Holdout set)
Root relative squared error
0.709
Cross-validation details (33% Holdout set)
SciMark benchmark
872.1114