DEVELOPMENT... OpenML
Run
135055

Run 135055

Task 3742 (Supervised Classification) fri_c4_100_10 Uploaded 28-12-2014 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)_I20
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
0.778
Per class
Build CPU time
0.001
Build memory
2291213520.8
F measure
0.7796
Per class
Kappa
0.5573
KB relative information score
55.7695
Mean absolute error
0.22
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7799
Per class
Predictive accuracy
0.78
Prior entropy
0.9975
Recall
0.78
Per class
Relative absolute error
0.4416
Root mean prior squared error
0.4991
Root mean squared error
0.469
Root relative squared error
0.9398
SciMark benchmark
946.9091