Run
133479

Run 133479

Task 232 (Supervised Classification) anneal Uploaded 27-12-2014 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)_I10
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
0.9758
Per class
Cross-validation details (33% Holdout set)
Build CPU time
3.311
Cross-validation details (33% Holdout set)
Build memory
2017546544
Cross-validation details (33% Holdout set)
F measure
0.952
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8902
Cross-validation details (33% Holdout set)
KB relative information score
284.2384
Cross-validation details (33% Holdout set)
Mean absolute error
0.0156
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.141
Cross-validation details (33% Holdout set)
Number of instances
296
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
0.9531
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9527
Cross-validation details (33% Holdout set)
Prior entropy
1.2149
Cross-validation details (33% Holdout set)
Recall
0.9527
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1107
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.2709
Cross-validation details (33% Holdout set)
Root mean squared error
0.1219
Cross-validation details (33% Holdout set)
Root relative squared error
0.45
Cross-validation details (33% Holdout set)
SciMark benchmark
943.8094