From 4b1198a431808d3ab68ea127e1fddeb116573972 Mon Sep 17 00:00:00 2001 From: bender Date: Tue, 3 Mar 2026 14:32:12 +0000 Subject: [PATCH] Update src/app/page.tsx --- src/app/page.tsx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/app/page.tsx b/src/app/page.tsx index ebaa5f5..06a600e 100644 --- a/src/app/page.tsx +++ b/src/app/page.tsx @@ -9,7 +9,7 @@ import FeatureCardTwentySeven from "@/components/sections/feature/FeatureCardTwe import SocialProofOne from "@/components/sections/socialProof/SocialProofOne"; import TestimonialCardSix from "@/components/sections/testimonial/TestimonialCardSix"; import FooterLogoReveal from "@/components/sections/footer/FooterLogoReveal"; -import { AlertTriangle, Award, BarChart3, Calendar, CheckCircle, Code, Database, DollarSign, GitBranch, GitCompare, Layers, Package, PieChart, Star, Target, TrendingUp, Zap } from "lucide-react"; +import { AlertTriangle, Award, BarChart3, Calendar, CheckCircle, Code, Database, DollarSign, GitBranch, GitCompare, Layers, Package, PieChart, Star, Target, TrendingUp, Zap, Trophy } from "lucide-react"; export default function LandingPage() { return ( @@ -155,7 +155,7 @@ export default function LandingPage() { id: "prophet", title: "Prophet Model", description: "Facebook's Prophet handles seasonality automatically with built-in holiday effects and trend changepoint detection. More robust to missing data and outliers. Captures weekly and yearly seasonality simultaneously. Forecast includes confidence intervals. Performance: MAE=198, RMSE=267.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/prophet-model-components-visualization-s-1772513503358-1c21ac34.png", imageAlt: "Prophet components showing trend and seasonality decomposition" }, { - id: "comparison", title: "Model Comparison", description: "Prophet achieves 19% lower MAE and 14% lower RMSE compared to ARIMA on this dataset. Selected Prophet for production deployment due to superior accuracy, automatic seasonality handling, and better generalization to new data patterns.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/professional-comparison-table-showing-ar-1772513502964-27ebcbf9.png", imageAlt: "Comparison table of ARIMA vs Prophet performance metrics" + id: "comparison", title: "Model Comparison", description: "🏆 Prophet outperforms ARIMA by 19% (MAE) and 14% (RMSE). Selected Prophet for production deployment due to superior accuracy, automatic seasonality handling, and better generalization to new data patterns. Clear winner for this dataset.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQ8Q718DwJVd8ARNbVYjSdJYfR/professional-comparison-table-showing-ar-1772513502964-27ebcbf9.png", imageAlt: "Comparison table of ARIMA vs Prophet performance metrics" } ]} gridVariant="uniform-all-items-equal" -- 2.49.1