Run
439927

Run 439927

Task 240 (Supervised Classification) lymph Uploaded 16-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9717
Per class
Cross-validation details (33% Holdout set)
F measure
0.9036
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8408
Cross-validation details (33% Holdout set)
KB relative information score
29.7152
Cross-validation details (33% Holdout set)
Mean absolute error
0.1361
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2723
Cross-validation details (33% Holdout set)
Number of instances
48
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9011
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9167
Cross-validation details (33% Holdout set)
Prior entropy
1.2818
Cross-validation details (33% Holdout set)
Recall
0.9167
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.4999
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3701
Cross-validation details (33% Holdout set)
Root mean squared error
0.2281
Cross-validation details (33% Holdout set)
Root relative squared error
0.6163
Cross-validation details (33% Holdout set)
SciMark benchmark
936.9595
UserCPU time millis
20
Cross-validation details (33% Holdout set)
UserCPU time millis training
20
Cross-validation details (33% Holdout set)