Run
280857

Run 280857

Task 2356 (Supervised Classification) meta_stream_intervals.arff Uploaded 08-03-2015 by Joaquin Vanschoren
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Flow

weka.ExtraTree(1)Pierre Geurts, Damien Ernst, Louis Wehenkel (2006). Extremely randomized trees. Machine Learning. 63(1):3-42.
weka.ExtraTree(1)_K-1
weka.ExtraTree(1)_N-1
weka.ExtraTree(1)_S1

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
0.9897
Per class
Cross-validation details (33% Holdout set)
F measure
0.9836
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9765
Cross-validation details (33% Holdout set)
KB relative information score
14424.9719
Cross-validation details (33% Holdout set)
Mean absolute error
0.0025
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.1069
Cross-validation details (33% Holdout set)
Number of instances
14904
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9837
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9837
Cross-validation details (33% Holdout set)
Prior entropy
2.3329
Cross-validation details (33% Holdout set)
Recall
0.9837
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0235
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.2308
Cross-validation details (33% Holdout set)
Root mean squared error
0.0501
Cross-validation details (33% Holdout set)
Root relative squared error
0.217
Cross-validation details (33% Holdout set)
SciMark benchmark
1349.9917
UserCPU time millis
370
Cross-validation details (33% Holdout set)
UserCPU time millis testing
70
Cross-validation details (33% Holdout set)
UserCPU time millis training
300
Cross-validation details (33% Holdout set)