DEVELOPMENT... OpenML
Run
131481

Run 131481

Task 3770 (Supervised Classification) chscase_census4 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)_I160
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
0.4691
Per class
Build CPU time
0.1604
Build memory
509463502.4
F measure
0.47
Per class
Kappa
-0.061
KB relative information score
-6.6862
Mean absolute error
0.506
Mean prior absolute error
0.4996
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.47
Per class
Predictive accuracy
0.47
Prior entropy
0.9994
Recall
0.47
Per class
Relative absolute error
1.0129
Root mean prior squared error
0.4998
Root mean squared error
0.523
Root relative squared error
1.0464
SciMark benchmark
915.8564