DEVELOPMENT... OpenML
Run
134255

Run 134255

Task 3495 (Supervised Classification) SPECT 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)_I10
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
0.7612
Per class
Build CPU time
0.0123
Build memory
866946776
F measure
0.8071
Per class
Kappa
0.3949
KB relative information score
76.9059
Mean absolute error
0.2024
Mean prior absolute error
0.3284
Number of instances
267
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8033
Per class
Predictive accuracy
0.8127
Prior entropy
0.738
Recall
0.8127
Per class
Relative absolute error
0.6162
Root mean prior squared error
0.4044
Root mean squared error
0.4025
Root relative squared error
0.9952
SciMark benchmark
939.084