DEVELOPMENT... OpenML
Run
133979

Run 133979

Task 3877 (Supervised Classification) analcatdata_dmft Uploaded 28-12-2014 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)_I10
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
0.4539
Per class
Build CPU time
1.1057
Build memory
477027297.335
F measure
0.6964
Per class
Kappa
-0.0598
KB relative information score
-194.4018
Mean absolute error
0.3232
Mean prior absolute error
0.3138
Number of instances
797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6631
Per class
Predictive accuracy
0.7403
Prior entropy
0.7123
Recall
0.7403
Per class
Relative absolute error
1.0302
Root mean prior squared error
0.3958
Root mean squared error
0.4728
Root relative squared error
1.1946
SciMark benchmark
946.9091