DEVELOPMENT... OpenML
Run
132668

Run 132668

Task 3754 (Supervised Classification) sleuth_case1202 Uploaded 27-12-2014 by Felicia West
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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
0.8467
Per class
Build CPU time
0.0213
Build memory
1060376980.5591
F measure
0.8406
Per class
Kappa
0.6718
KB relative information score
46.2113
Mean absolute error
0.2475
Mean prior absolute error
0.475
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8519
Per class
Predictive accuracy
0.8387
Prior entropy
0.9645
Recall
0.8387
Per class
Relative absolute error
0.521
Root mean prior squared error
0.4871
Root mean squared error
0.3725
Root relative squared error
0.7648
SciMark benchmark
920.6725

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