DEVELOPMENT... OpenML
Run
133233

Run 133233

Task 3718 (Supervised Classification) boston 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
0.912
Per class
Build CPU time
0.6583
Build memory
1185242425.1542
F measure
0.8869
Per class
Kappa
0.7659
KB relative information score
343.4325
Mean absolute error
0.1639
Mean prior absolute error
0.4849
Number of instances
506
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8872
Per class
Predictive accuracy
0.8874
Prior entropy
0.9782
Recall
0.8874
Per class
Relative absolute error
0.338
Root mean prior squared error
0.4924
Root mean squared error
0.3078
Root relative squared error
0.6252
SciMark benchmark
943.8094