From 7dde717d404f91e69a8f7184720beb3ade4c8569 Mon Sep 17 00:00:00 2001 From: vadim_potemkin Date: Wed, 15 Nov 2023 18:02:26 +0100 Subject: [PATCH] added data for tests --- .../ItalyPowerDemand_fake_TEST.arff | 100 ++++++++++++++++++ .../ItalyPowerDemand_fake_TEST.ts | 80 ++++++++++++++ .../ItalyPowerDemand_fake_TEST.txt | 67 ++++++++++++ .../ItalyPowerDemand_fake_TRAIN.arff | 100 ++++++++++++++++++ .../ItalyPowerDemand_fake_TRAIN.ts | 80 ++++++++++++++ .../ItalyPowerDemand_fake_TRAIN.txt | 67 ++++++++++++ 6 files changed, 494 insertions(+) create mode 100644 examples/data/ItalyPowerDemand_fake/ItalyPowerDemand_fake_TEST.arff create mode 100644 examples/data/ItalyPowerDemand_fake/ItalyPowerDemand_fake_TEST.ts create mode 100644 examples/data/ItalyPowerDemand_fake/ItalyPowerDemand_fake_TEST.txt create mode 100644 examples/data/ItalyPowerDemand_fake/ItalyPowerDemand_fake_TRAIN.arff create mode 100644 examples/data/ItalyPowerDemand_fake/ItalyPowerDemand_fake_TRAIN.ts create mode 100644 examples/data/ItalyPowerDemand_fake/ItalyPowerDemand_fake_TRAIN.txt diff --git a/examples/data/ItalyPowerDemand_fake/ItalyPowerDemand_fake_TEST.arff b/examples/data/ItalyPowerDemand_fake/ItalyPowerDemand_fake_TEST.arff new file mode 100644 index 000000000..498eba65f --- /dev/null +++ b/examples/data/ItalyPowerDemand_fake/ItalyPowerDemand_fake_TEST.arff @@ -0,0 +1,100 @@ +%The data was derived from twelve monthly electrical power demand +%time series from Italy and first used in the paper "Intelligent +%Icons: Integrating Lite-Weight Data Mining and Visualization into +%GUI Operating Systems". The classification task is to distinguish +%days from Oct to March (inclusive) from April to September. +@Relation ItalyPowerDemand +@attribute att1 numeric +@attribute att2 numeric +@attribute att3 numeric +@attribute att4 numeric +@attribute att5 numeric +@attribute att6 numeric +@attribute att7 numeric +@attribute att8 numeric +@attribute att9 numeric +@attribute att10 numeric +@attribute att11 numeric +@attribute att12 numeric +@attribute att13 numeric +@attribute att14 numeric +@attribute att15 numeric +@attribute att16 numeric +@attribute att17 numeric +@attribute att18 numeric +@attribute att19 numeric +@attribute att20 numeric +@attribute att21 numeric +@attribute att22 numeric +@attribute att23 numeric +@attribute att24 numeric +@attribute target {1,2} + +@data 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The classification task is to distinguish +#days from Oct to March (inclusive) from April to September. +@problemName ItalyPowerDemand +@timeStamps false +@missing false +@univariate true +@equalLength true +@seriesLength 24 +@classLabel true 1 2 +@data +-0.71051757,-1.1833204,-1.3724416,-1.5930829,-1.4670021,-1.3724416,-1.0887599,0.045966947,0.92853223,1.0861332,1.2752543,0.96005242,0.61333034,0.014446758,-0.6474772,-0.26923494,-0.20619456,0.61333034,1.3698149,1.4643754,1.054613,0.58181015,0.1720477,-0.26923494:1 +-0.99300935,-1.4267865,-1.5798843,-1.6054006,-1.6309169,-1.3757539,-1.0185257,-0.35510183,0.71658276,1.2013925,1.1248436,1.0482947,0.79313166,0.46141977,0.48693607,0.56348497,0.61451757,0.30832197,0.25728936,1.0993273,1.0482947,0.69106647,-0.048906237,-0.38061813:1 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1.6966088e-01 -5.1942331e-01 -8.3264339e-01 -8.9528740e-01 -7.0735536e-01 -7.0735536e-01 -1.7723037e+00 -8.9528740e-01 4.8288096e-01 6.7081301e-01 7.3345703e-01 7.3345703e-01 4.2023694e-01 -5.1942331e-01 -6.4471135e-01 -7.0735536e-01 -7.6999938e-01 -7.0735536e-01 -2.6884724e-01 2.3230490e-01 2.4248455e+00 1.9236934e+00 1.1719652e+00 diff --git a/examples/data/ItalyPowerDemand_fake/ItalyPowerDemand_fake_TRAIN.arff b/examples/data/ItalyPowerDemand_fake/ItalyPowerDemand_fake_TRAIN.arff new file mode 100644 index 000000000..498eba65f --- /dev/null +++ b/examples/data/ItalyPowerDemand_fake/ItalyPowerDemand_fake_TRAIN.arff @@ -0,0 +1,100 @@ +%The data was derived from twelve monthly electrical power demand +%time series from Italy and first used in the paper "Intelligent +%Icons: Integrating Lite-Weight Data Mining and Visualization into +%GUI Operating Systems". The classification task is to distinguish +%days from Oct to March (inclusive) from April to September. +@Relation ItalyPowerDemand +@attribute att1 numeric +@attribute att2 numeric +@attribute att3 numeric +@attribute att4 numeric +@attribute att5 numeric +@attribute att6 numeric +@attribute att7 numeric +@attribute att8 numeric +@attribute att9 numeric +@attribute att10 numeric +@attribute att11 numeric +@attribute att12 numeric +@attribute att13 numeric +@attribute att14 numeric +@attribute att15 numeric +@attribute att16 numeric +@attribute att17 numeric +@attribute att18 numeric +@attribute att19 numeric +@attribute att20 numeric +@attribute att21 numeric +@attribute att22 numeric +@attribute att23 numeric +@attribute att24 numeric +@attribute target {1,2} + +@data 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The classification task is to distinguish +#days from Oct to March (inclusive) from April to September. +@problemName ItalyPowerDemand +@timeStamps false +@missing false +@univariate true +@equalLength true +@seriesLength 24 +@classLabel true 1 2 +@data +-0.71051757,-1.1833204,-1.3724416,-1.5930829,-1.4670021,-1.3724416,-1.0887599,0.045966947,0.92853223,1.0861332,1.2752543,0.96005242,0.61333034,0.014446758,-0.6474772,-0.26923494,-0.20619456,0.61333034,1.3698149,1.4643754,1.054613,0.58181015,0.1720477,-0.26923494:1 +-0.99300935,-1.4267865,-1.5798843,-1.6054006,-1.6309169,-1.3757539,-1.0185257,-0.35510183,0.71658276,1.2013925,1.1248436,1.0482947,0.79313166,0.46141977,0.48693607,0.56348497,0.61451757,0.30832197,0.25728936,1.0993273,1.0482947,0.69106647,-0.048906237,-0.38061813:1 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