DEVELOPMENT... OpenML
Run
133379

Run 133379

Task 3876 (Supervised Classification) analcatdata_challenger 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
0.4475
Per class
Build CPU time
0.3007
Build memory
807780741.7391
F measure
0.9033
Per class
KB relative information score
-119.3025
Mean absolute error
0.1206
Mean prior absolute error
0.1273
Number of instances
138
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8738
Per class
Predictive accuracy
0.9348
Prior entropy
0.3712
Recall
0.9348
Per class
Relative absolute error
0.9468
Root mean prior squared error
0.247
Root mean squared error
0.2646
Root relative squared error
1.0713
SciMark benchmark
943.8094