Skari

Data Analysis

From statistics and modeling to finance and marketing analytics — all in one place.

StatisticsFrom hypothesis testing to time series and clustering — a wide range of statistical methods.SEMType the research topic — the model, the survey and a report in thesis order follow.Auto ModelingTrains and compares several machine-learning models automatically, and explains why they predicted what they did.

Specialized Analysis

Survey

Go beyond standard surveys with Conjoint, AHP, and Price Sensitivity — plus CSAT, NPS, and more.

ConjointEstimates preference share and market share by attribute combination.AHP PriorityDerives priority ranking for each item through pairwise comparison.Price Sensitivity (PSM)Analyzes the optimal price point and resistance range from responses.

Other Methods

Gabor-Granger Kano Model Driver Analysis MaxDiff TURF Usability (SUS)NPS Brand Tracking View All Methods

Coming soon

05 분류 성능 평가

정확도, 정밀도, 재현율, ROC-AUC, PR-AUC

This chapter is being written. Try the other chapters in the list first.

← Previous04 편향과 분산 Next →06 회귀 예측 성능 평가

Skari — AI Statistical Analysis Platform