PATENT CLAIM ANALYSIS

Application Number: 16242840
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-08
Patent Classification: ["455", "423000"]

Abstract:
A method for mobile network testing is described wherein at least one testing device is used that is configured to be connected to a mobile network. A predefined set of test procedures is run on the at least one testing device in order to obtain binary test results assigned to at least one test parameter. The binary test results of the test procedures are evaluated via a machine learning model. The machine learning model is trained to predict the probability of at least one binary test result based on the binary test results obtained. Further, a test system, a method for mobile network testing as well as a prediction system are described.

Claim (Index 20):
A prediction system for predicting the probability of at least one binary test result, comprising a processing unit configured to run a machine learning model, wherein the machine learning model is trained by a method according to  claim 1  or wherein the prediction system is configured to: perform a single test on the at least one testing device; forward the test result of the single test and the at least one test parameter assigned to the test result to the prediction system for evaluating the test result; and obtain a prediction regarding the probability of at least one binary test result from the prediction system.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 99.0
- Lexical Diversity: 2.16364
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15263654', '11304209', '15961392', '15270832', '15890009']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6732379360109699
- 35 USC 102 Novelty (BERT): 0.4827248294987261
- Combined Prediction Score: 0.6541866253597456
- Mean Citation Score: 186.062482
- Max Citation Score: 193.43951
- Similarity Product: 138.58206491161644

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test