DEVELOPMENT... OpenML
Run
132056

Run 132056

Task 3740 (Supervised Classification) fri_c1_100_50 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)_I80
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
0.7382
Per class
Build CPU time
0.0607
Build memory
1203157928.8
F measure
0.6733
Per class
Kappa
0.3438
KB relative information score
10.5007
Mean absolute error
0.4517
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7018
Per class
Predictive accuracy
0.69
Prior entropy
0.99
Recall
0.69
Per class
Relative absolute error
0.9163
Root mean prior squared error
0.4964
Root mean squared error
0.4662
Root relative squared error
0.9391
SciMark benchmark
943.7751