Run
340000

Run 340000

Task 289 (Supervised Classification) iris Uploaded 27-03-2015 by Joaquin Vanschoren
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Flow

weka.RandomForest(5)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(5)_I100
weka.RandomForest(5)_K0
weka.RandomForest(5)_S1
weka.RandomForest(5)_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.

22 Evaluation measures

Area under ROC curve
0.9943
Per class
Cross-validation details (33% Holdout set)
F measure
0.9592
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9388
Cross-validation details (33% Holdout set)
KB relative information score
44.4368
Cross-validation details (33% Holdout set)
Mean absolute error
0.0503
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4444
Cross-validation details (33% Holdout set)
Number of instances
49
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9637
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9592
Cross-validation details (33% Holdout set)
Prior entropy
1.585
Cross-validation details (33% Holdout set)
Recall
0.9592
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.1133
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4714
Cross-validation details (33% Holdout set)
Root mean squared error
0.1637
Cross-validation details (33% Holdout set)
Root relative squared error
0.3473
Cross-validation details (33% Holdout set)
SciMark benchmark
1323.5075
UserCPU time millis
20
Cross-validation details (33% Holdout set)
UserCPU time millis training
20
Cross-validation details (33% Holdout set)