Random Forest Revenue and Competitors
Estimated Revenue & Valuation
- Random Forest's estimated annual revenue is currently $11.6M per year.
- Random Forest's estimated revenue per employee is $145,000
Employee Data
- Random Forest has 80 Employees.
- Random Forest grew their employee count by 21% last year.
Random Forest's People
Name | Title | Email/Phone |
---|---|---|
1 | Business Intelligence Consultant | Reveal Email/Phone |
2 | Business Intelligence Consultant | Reveal Email/Phone |
Random Forest Competitors & AlternativesAdd Company
Competitor Name | Revenue | Number of Employees | Employee Growth | Total Funding | Valuation |
---|---|---|---|---|---|
#1 | $73.1M | 397 | 5% | $133.8M | N/A |
#2 | $62.2M | 338 | -14% | $103.3M | N/A |
#3 | $2.4M | 24 | -11% | N/A | N/A |
#4 | $6.9M | 53 | 8% | N/A | N/A |
#5 | $33.3M | 209 | 20% | N/A | N/A |
#6 | $18.1M | 125 | 10% | N/A | N/A |
#7 | $23.3M | 146 | -8% | N/A | N/A |
#8 | $1.9M | 26 | 4% | $7.1M | N/A |
#9 | $12.5M | 86 | -12% | N/A | N/A |
#10 | $26.8M | 168 | 1% | N/A | N/A |
What Is Random Forest?
We are experienced consultants that seek new ways to apply Business Intelligence solutions for greater value. We help organizations add perspective to their business by gathering and analyzing their business information. With new perspectives comes new insights and from there new fruitful strategies can be developed. Random Forest is a newly founded company owned by its employees.
keywords:N/AN/A
Total Funding
80
Number of Employees
$11.6M
Revenue (est)
21%
Employee Growth %
N/A
Valuation
N/A
Accelerator
Random Forest News
The random forest model significantly outperformed all other models, including the logistic regression model that the entire paper focuses on,...
The random forest classifier is used as the machine learning algorithm. ... Then the images are classified random forest (RF) classifier.
Predictive Modeling and Feature Analysis. The random forest has built-in feature importance. Random forest uses its Gini impurity criterion to...
2) Random Forest Architecture: RF models use decision trees to break down data through yes/no questions. The downfall, though, is that these ...
Company Name | Revenue | Number of Employees | Employee Growth | Total Funding |
---|---|---|---|---|
#1 | $11.6M | 80 | 7% | N/A |
#2 | $16.2M | 80 | 57% | N/A |
#3 | $9.6M | 80 | 43% | N/A |
#4 | N/A | 80 | 48% | N/A |
#5 | N/A | 80 | 38% | N/A |