DEVELOPMENT... OpenML
Run
133290

Run 133290

Task 3784 (Supervised Classification) analcatdata_seropositive 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
0.9746
Per class
Build CPU time
0.0141
Build memory
1376981314.1212
F measure
0.962
Per class
Kappa
0.9162
KB relative information score
112.5523
Mean absolute error
0.0724
Mean prior absolute error
0.4548
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.962
Per class
Predictive accuracy
0.9621
Prior entropy
0.9347
Recall
0.9621
Per class
Relative absolute error
0.1591
Root mean prior squared error
0.4765
Root mean squared error
0.1811
Root relative squared error
0.38
SciMark benchmark
943.8094