DEVELOPMENT... OpenML
Run
135615

Run 135615

Task 3695 (Supervised Classification) fri_c2_250_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)_I40
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
0.8421
Per class
Build CPU time
0.0031
Build memory
2146353592
F measure
0.8557
Per class
Kappa
0.6875
KB relative information score
169.5813
Mean absolute error
0.144
Mean prior absolute error
0.4633
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8554
Per class
Predictive accuracy
0.856
Prior entropy
0.9468
Recall
0.856
Per class
Relative absolute error
0.3108
Root mean prior squared error
0.4812
Root mean squared error
0.3795
Root relative squared error
0.7887
SciMark benchmark
934.6076