Neighaus 1950

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.8160  0.009  0.1212  0.5015  0.4219  0.46
Anderszewski 2003   14  0.7550  0.0039  0.0433  0.2124  0.2634  0.23
Ashkenazy 1981   34  0.6933  0.0024  0.0822  0.3910  0.4722  0.43
Bacha 2000   57  0.6383  0.0068  0.0649  0.0643  0.0961  0.07
Badura 1965   44  0.6758  0.0051  0.0476  0.0424  0.4450  0.13
Barbosa 1983   76  0.4644  0.0073  0.0468  0.0436  0.1364  0.07
Biret 1990   54  0.6454  0.0065  0.0469  0.0467  0.0481  0.04
Blet 2003   63  0.6149  0.0066  0.0567  0.0543  0.1360  0.08
Block 1995   61  0.6337  0.0034  0.0444  0.0914  0.3240  0.17
Blumental 1952   74  0.5124  0.0146  0.0470  0.0470  0.0480  0.04
Boshniakovich 1969   7  0.8114  0.017  0.1310  0.524  0.588  0.55
Brailowsky 1960   41  0.6834  0.0069  0.0748  0.0739  0.1554  0.10
Bunin 1987   68  0.5839  0.0054  0.0473  0.0412  0.4847  0.14
Bunin 1987b   70  0.5655  0.0053  0.0472  0.0412  0.4845  0.14
Chiu 1999   67  0.5847  0.0045  0.0445  0.0844  0.1355  0.10
Cohen 1997   87  0.3156  0.0084  0.0288  0.0281  0.0390  0.02
Cortot 1951   33  0.6961  0.0036  0.0437  0.1615  0.4532  0.27
Csalog 1996   86  0.3190  0.0080  0.0565  0.0576  0.0378  0.04
Czerny 1949   9  0.814  0.065  0.1511  0.509  0.5410  0.52
Czerny 1990   38  0.6838  0.0044  0.0542  0.1039  0.1253  0.11
Duchoud 2007   65  0.6067  0.0062  0.0746  0.0713  0.3843  0.16
Ezaki 2006   45  0.6786  0.0059  0.0559  0.0558  0.0474  0.04
Falvay 1989   81  0.3866  0.0088  0.0477  0.0466  0.0575  0.04
Farrell 1958   49  0.665  0.0411  0.0938  0.1337  0.1942  0.16
Ferenczy 1958   56  0.6412  0.0137  0.0443  0.0915  0.3838  0.18
Fliere 1977   5  0.8346  0.008  0.199  0.5517  0.4116  0.47
Fou 1978   62  0.6162  0.0060  0.0558  0.0565  0.0476  0.04
Francois 1956   26  0.7126  0.0157  0.0562  0.0519  0.4248  0.14
Friedman 1923   10  0.7863  0.0018  0.1117  0.458  0.5713  0.51
Friedman 1923b   13  0.7764  0.0015  0.0915  0.468  0.5712  0.51
Friedman 1930   11  0.7715  0.0123  0.0819  0.437  0.5515  0.49
Garcia 2007   29  0.7069  0.0041  0.0634  0.2023  0.3533  0.26
Garcia 2007b   18  0.7342  0.0021  0.1025  0.386  0.5620  0.46
Gierzod 1998   6  0.816  0.036  0.148  0.569  0.547  0.55
Gornostaeva 1994   30  0.7017  0.0161  0.0650  0.0634  0.1656  0.10
Groot 1988   46  0.6740  0.0058  0.0653  0.0618  0.4044  0.15
Harasiewicz 1955   16  0.7479  0.0025  0.1121  0.4022  0.3326  0.36
Hatto 1993   24  0.7110  0.0213  0.147  0.568  0.565  0.56
Hatto 1997   17  0.7329  0.0012  0.096  0.568  0.546  0.55
Horowitz 1949   20  0.7322  0.0119  0.0916  0.467  0.5314  0.49
Indjic 1988   15  0.747  0.0210  0.135  0.578  0.554  0.56
Kapell 1951   59  0.6384  0.0031  0.0831  0.2725  0.1735  0.21
Kissin 1993   32  0.6928  0.0030  0.1028  0.3627  0.3029  0.33
Kushner 1989   22  0.7168  0.0043  0.0540  0.1333  0.2139  0.17
Luisada 1991   39  0.6873  0.0042  0.0735  0.1655  0.0557  0.09
Lushtak 2004   40  0.6816  0.0135  0.0436  0.1618  0.2836  0.21
Malcuzynski 1961   69  0.5727  0.0064  0.0564  0.0535  0.1759  0.09
Magaloff 1978   64  0.6125  0.0170  0.0651  0.0649  0.0766  0.06
Magin 1975   51  0.6680  0.0029  0.0830  0.2827  0.2831  0.28
Michalowski 1933   21  0.7370  0.0020  0.0820  0.4211  0.5218  0.47
Milkina 1970   53  0.6535  0.0067  0.0557  0.0579  0.0377  0.04
Mohovich 1999   37  0.6877  0.0048  0.0481  0.0449  0.0771  0.05
Moravec 1969   85  0.3259  0.0087  0.0385  0.0388  0.0287  0.02
Morozova 2008   58  0.6331  0.0049  0.0478  0.0442  0.1365  0.07
Neighaus 1950   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Niedzielski 1931   25  0.719  0.0232  0.0929  0.3118  0.4624  0.38
Ohlsson 1999   4  0.842  0.084  0.252  0.622  0.652  0.63
Osinska 1989   12  0.7775  0.0026  0.0626  0.3825  0.3625  0.37
Pachmann 1927   55  0.6471  0.0074  0.0563  0.0543  0.1063  0.07
Paderewski 1930   43  0.6811  0.0147  0.0480  0.0425  0.3252  0.11
Perlemuter 1992   28  0.7045  0.0038  0.0541  0.1137  0.1649  0.13
Pierdomenico 2008   71  0.5423  0.0163  0.0655  0.0612  0.4341  0.16
Poblocka 1999   31  0.7032  0.0014  0.1214  0.4611  0.4917  0.47
Rabcewiczowa 1932   72  0.5353  0.0076  0.0747  0.0762  0.0468  0.05
Rachmaninoff 1923   27  0.7019  0.0152  0.0471  0.0440  0.1162  0.07
Rangell 2001   75  0.5041  0.0071  0.0654  0.0628  0.2851  0.13
Richter 1976   60  0.6348  0.0050  0.0479  0.0418  0.4846  0.14
Rosen 1989   50  0.6691  0.0056  0.0556  0.0562  0.0479  0.04
Rosenthal 1930   79  0.4481  0.0077  0.0475  0.0475  0.0384  0.03
Rosenthal 1931   82  0.3874  0.0083  0.0383  0.0372  0.0483  0.03
Rosenthal 1931b   80  0.3978  0.0081  0.0382  0.0381  0.0386  0.03
Rosenthal 1931c   84  0.3685  0.0085  0.0287  0.0281  0.0391  0.02
Rosenthal 1931d   83  0.3765  0.0086  0.0384  0.0384  0.0385  0.03
Rossi 2007   78  0.4572  0.0082  0.0286  0.0269  0.0482  0.03
Rubinstein 1939   73  0.5243  0.0075  0.0652  0.0667  0.0467  0.05
Rubinstein 1952   88  0.3030  0.0079  0.0566  0.0556  0.0673  0.05
Rubinstein 1966   66  0.5920  0.0172  0.0560  0.0550  0.0570  0.05
Schilhawsky 1960   19  0.738  0.0216  0.0913  0.5011  0.569  0.53
Shebanova 2002   1  0.871  0.441  0.441  0.693  0.651  0.67
Smith 1975   48  0.6713  0.0155  0.0474  0.0429  0.2058  0.09
Sokolov 2002   52  0.6551  0.0040  0.0439  0.1320  0.3237  0.20
Sztompka 1959   2  0.8621  0.013  0.254  0.584  0.563  0.57
Tomsic 1995   77  0.4652  0.0078  0.0561  0.0562  0.0569  0.05
Uninsky 1932   42  0.6818  0.0122  0.0827  0.3821  0.4223  0.40
Uninsky 1971   47  0.6736  0.0017  0.1218  0.4514  0.4421  0.44
Wasowski 1980   35  0.6957  0.0033  0.0832  0.2514  0.3330  0.29
Zak 1937   23  0.7188  0.0027  0.0823  0.3818  0.3127  0.34
Zak 1951   36  0.6976  0.0028  0.1324  0.3819  0.3128  0.34
Average   3  0.853  0.072  0.183  0.6012  0.4311  0.51
Random 1   91  -0.2787  0.0091  0.0191  0.0172  0.0389  0.02
Random 2   89  -0.1089  0.0089  0.0289  0.0258  0.0388  0.02
Random 3   90  -0.1382  0.0090  0.0190  0.0134  0.2172  0.05

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).