DEVELOPMENT... OpenML
Run
133200

Run 133200

Task 3676 (Supervised Classification) rmftsa_ctoarrivals Uploaded 27-12-2014 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)_I20
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
0.9884
Per class
Build CPU time
0.0188
Build memory
280990807.8182
F measure
0.9359
Per class
Kappa
0.865
KB relative information score
222.0615
Mean absolute error
0.0747
Mean prior absolute error
0.4726
Number of instances
264
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9369
Per class
Predictive accuracy
0.9356
Prior entropy
0.9604
Recall
0.9356
Per class
Relative absolute error
0.1579
Root mean prior squared error
0.486
Root mean squared error
0.2171
Root relative squared error
0.4466
SciMark benchmark
943.8094