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#!/usr/bin/env ruby
require "./config.rb"
require "bundler"
Bundler.require
res = YAML.load("---
- :min_sim: 0.65
:min_train: 0.0
:cv: http://localhost:8087/validation/crossvalidation/73
:r_square: 0.28572954365573644
:unpredicted: '3'
:features: all-pc-features
- :min_sim: 0.65
:min_train: 0.0
:cv: http://localhost:8087/validation/crossvalidation/74
:r_square: 0.20115321576362188
:unpredicted: '3'
:features: new-pc-features
- :min_sim: 0.65
:min_train: 0.0
:cv: http://localhost:8087/validation/crossvalidation/76
:r_square: 0.013357820165398548
:unpredicted: '5'
:features: ob-pc-features")
min_train = [nil,0.1,0.2] #,0.3,0.4,0.5]
all = nil
s = [ "feat\\train" ]
min_train.each do |m|
s << (m==nil ? 0.0 : m).to_s
end
out = [s]
res.each do |r|
# s = [ r[:min_sim].to_s ]
s = [ r[:features].to_s ]
stats = OpenTox::Crossvalidation.find(r[:cv]).statistics
all = stats.metadata[RDF::OT.numInstances.to_s].to_i unless all
min_train.each do |m|
data = (m==nil ? stats.metadata : stats.filter_metadata(m))
v = sprintf("%.3f",data[RDF::OT.regressionStatistics.to_s][RDF::OT.rSquare.to_s])
v << "("
v << sprintf("%2d",(all - (data[RDF::OT.numInstances.to_s].to_i-data[RDF::OT.numUnpredicted.to_s].to_i)))
v << ")"
s << v
end
out << s
end
def print_2d_array(a, cs=15)
report = []
report << a.enum_for(:each_with_index).map { |ia, i|
ia.map{|e| "%#{cs}s" % e}.join(" | ") }
puts report.join("\n")
end
print_2d_array out
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