DEVELOPMENT... OpenML
Run
136862

Run 136862

Task 3754 (Supervised Classification) sleuth_case1202 Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I160
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.723
Per class
Build CPU time
0.0033
Build memory
1000763446.8817
F measure
0.7405
Per class
Kappa
0.4505
KB relative information score
41.284
Mean absolute error
0.2581
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
0.7397
Per class
Predictive accuracy
0.7419
Prior entropy
0.9645
Recall
0.7419
Per class
Relative absolute error
0.5432
Root mean prior squared error
0.4871
Root mean squared error
0.508
Root relative squared error
1.0429
SciMark benchmark
874.2668