Run
131125

Run 131125

Task 284 (Supervised Classification) hepatitis Uploaded 25-12-2014 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)_I160
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
0.8178
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.03
Cross-validation details (33% Holdout set)
Build memory
1287967776
Cross-validation details (33% Holdout set)
F measure
0.7817
Per class
Cross-validation details (33% Holdout set)
Kappa
0.3914
Cross-validation details (33% Holdout set)
KB relative information score
11.0965
Cross-validation details (33% Holdout set)
Mean absolute error
0.2705
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3579
Cross-validation details (33% Holdout set)
Number of instances
51
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7917
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8039
Cross-validation details (33% Holdout set)
Prior entropy
0.7418
Cross-validation details (33% Holdout set)
Recall
0.8039
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7558
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4381
Cross-validation details (33% Holdout set)
Root mean squared error
0.382
Cross-validation details (33% Holdout set)
Root relative squared error
0.8719
Cross-validation details (33% Holdout set)
SciMark benchmark
937.5757