Run
132309

Run 132309

Task 266 (Supervised Classification) segment 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
0.999
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.933
Cross-validation details (33% Holdout set)
Build memory
748320456
Cross-validation details (33% Holdout set)
F measure
0.9671
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9617
Cross-validation details (33% Holdout set)
KB relative information score
722.4457
Cross-validation details (33% Holdout set)
Mean absolute error
0.0209
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2449
Cross-validation details (33% Holdout set)
Number of instances
762
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
0.9674
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9672
Cross-validation details (33% Holdout set)
Prior entropy
2.8074
Cross-validation details (33% Holdout set)
Recall
0.9672
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0852
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3499
Cross-validation details (33% Holdout set)
Root mean squared error
0.0849
Cross-validation details (33% Holdout set)
Root relative squared error
0.2425
Cross-validation details (33% Holdout set)
SciMark benchmark
940.5537