SciKits

SciKits (short for SciPy Toolkits) are add-on packages for SciPy, hosted and developed separately and independently from the main SciPy distribution. All SciKits are licensed under OSI-approved licenses.

Hello, I have a CSV file that has 9 features and 9 expected targets, and I want to test 2 regression models on this data (that should be generated as a stream).

When I test the MultiTargetRegressionHoeffdingTree and RegressorChain on this data I get a bad R2-score, but when I tried normalizing my data with scikit-learn I get a pretty good R2-score. The problem is that I should not use sci

SciKits

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benedekrozemberczki / karateclub

scikit-multilearn / scikit-multilearn

scikit-multiflow / scikit-multiflow

[FEATURE] Normalize data

[FEATURE] streamz as an input

shreyans29 / thesemicolon

lenskit / lkpy

SC4RECOIN / LSTM-Crypto-Price-Prediction

deeptime-ml / deeptime

mmaelicke / scikit-gstat

LaurentRDC / scikit-ued

scikit-mine / scikit-mine

PGelss / scikit_tt

psobot / machine-learning-for-drummers

huseinzol05 / Machine-Learning-Data-Science-Reuse

feramhq / scikit-image-cheatsheet

philipjk / genetic_algorithm_optimization_sklearn-based

S1r0hub / fake-music

feedzai / feedzai-openml-python

demas / datascience

mahermalaeb / recommendations-amazon-dataset

roshangrewal / IBM-Data-Science-Professional-Certification

jcosentino11 / hot-song-classification

espdev / scikit-mpe

rtsaad / CarND-Vehicle-Detection

espdev / scikit-curve

asad1996172 / Obfuscation-Detection

t-o-k / scikit-vectors

janaSunrise / ML-guide-and-implementation

dulajkavinda / personality-prediction

dulajkavinda / iris-classifier-flask-ML

annisap / irs-mlp

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