DEVELOPMENT... OpenML
Run
132457

Run 132457

Task 3495 (Supervised Classification) SPECT Uploaded 26-12-2014 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
0.7851
Per class
Build CPU time
1.8877
Build memory
977706223.161
F measure
0.818
Per class
Kappa
0.4272
KB relative information score
90.4455
Mean absolute error
0.1879
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
0.8143
Per class
Predictive accuracy
0.824
Prior entropy
0.738
Recall
0.824
Per class
Relative absolute error
0.5723
Root mean prior squared error
0.4044
Root mean squared error
0.3933
Root relative squared error
0.9724
SciMark benchmark
940.5537

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