Gierzod 1998

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.6250  0.0027  0.0539  0.1536  0.1341  0.14
Anderszewski 2003   42  0.6113  0.0223  0.0630  0.1915  0.4317  0.29
Ashkenazy 1981   2  0.781  0.291  0.281  0.601  0.591  0.59
Bacha 2000   26  0.6754  0.0047  0.0460  0.0410  0.4740  0.14
Badura 1965   74  0.4737  0.0065  0.0369  0.0356  0.0487  0.03
Barbosa 1983   75  0.4783  0.0075  0.0462  0.0459  0.0472  0.04
Biret 1990   9  0.7233  0.0015  0.0712  0.3313  0.3411  0.33
Blet 2003   52  0.5745  0.0071  0.0376  0.0370  0.0384  0.03
Block 1995   77  0.4627  0.0181  0.0284  0.0260  0.0488  0.03
Blumental 1952   54  0.5624  0.0121  0.0622  0.222  0.4515  0.31
Boshniakovich 1969   40  0.6219  0.0159  0.0547  0.0549  0.0568  0.05
Brailowsky 1960   47  0.5944  0.0068  0.0380  0.0344  0.0966  0.05
Bunin 1987   51  0.5784  0.0074  0.0548  0.0565  0.0474  0.04
Bunin 1987b   50  0.5770  0.0073  0.0378  0.0363  0.0481  0.03
Chiu 1999   78  0.4475  0.0060  0.0372  0.0340  0.1258  0.06
Cohen 1997   73  0.4771  0.0069  0.0382  0.0317  0.3647  0.10
Cortot 1951   31  0.664  0.0619  0.0817  0.2620  0.3616  0.31
Csalog 1996   57  0.5442  0.0082  0.0381  0.0326  0.3050  0.09
Czerny 1949   14  0.702  0.082  0.143  0.449  0.522  0.48
Czerny 1990   20  0.697  0.048  0.088  0.3627  0.2418  0.29
Duchoud 2007   27  0.6664  0.0042  0.0640  0.1335  0.2137  0.17
Ezaki 2006   17  0.6949  0.0034  0.0823  0.2257  0.0449  0.09
Falvay 1989   28  0.665  0.054  0.1114  0.3222  0.3013  0.31
Farrell 1958   19  0.6961  0.0057  0.0454  0.0428  0.1851  0.08
Ferenczy 1958   55  0.5556  0.0064  0.0365  0.0340  0.1261  0.06
Fliere 1977   10  0.7255  0.0036  0.0535  0.1747  0.0645  0.10
Fou 1978   69  0.4948  0.0049  0.0364  0.0350  0.0670  0.04
Francois 1956   23  0.6788  0.0014  0.0715  0.2919  0.3019  0.29
Friedman 1923   87  0.2134  0.0062  0.0379  0.0338  0.1857  0.07
Friedman 1923b   86  0.2285  0.0063  0.0363  0.0338  0.1953  0.08
Friedman 1930   76  0.4610  0.0238  0.0629  0.1915  0.4020  0.28
Garcia 2007   81  0.3681  0.0076  0.0367  0.0360  0.0486  0.03
Garcia 2007b   84  0.2782  0.0083  0.0287  0.0243  0.0975  0.04
Gierzod 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gornostaeva 1994   15  0.7012  0.0245  0.0452  0.0440  0.1654  0.08
Groot 1988   35  0.6325  0.0151  0.0449  0.0444  0.0863  0.06
Harasiewicz 1955   71  0.4872  0.0033  0.0826  0.2148  0.0548  0.10
Hatto 1993   72  0.4857  0.0030  0.0538  0.1614  0.3630  0.24
Hatto 1997   61  0.5335  0.0022  0.0627  0.2121  0.3523  0.27
Horowitz 1949   49  0.5890  0.0067  0.0370  0.0349  0.0571  0.04
Indjic 1988   68  0.4938  0.0029  0.0536  0.1719  0.3629  0.25
Kapell 1951   6  0.739  0.0216  0.064  0.4319  0.425  0.42
Kissin 1993   53  0.5715  0.0212  0.0741  0.1235  0.2239  0.16
Kushner 1989   8  0.7363  0.0026  0.0521  0.2224  0.3024  0.26
Luisada 1991   43  0.6129  0.0011  0.0731  0.1928  0.2532  0.22
Lushtak 2004   36  0.6217  0.0220  0.0616  0.2636  0.1635  0.20
Malcuzynski 1961   3  0.7730  0.0013  0.0811  0.3519  0.3110  0.33
Magaloff 1978   11  0.7140  0.009  0.0618  0.2531  0.2528  0.25
Magin 1975   58  0.5441  0.0052  0.0451  0.0444  0.0959  0.06
Michalowski 1933   66  0.4951  0.0024  0.069  0.3613  0.448  0.40
Milkina 1970   38  0.6252  0.0050  0.0545  0.0544  0.1452  0.08
Mohovich 1999   29  0.6620  0.0148  0.0453  0.0478  0.0389  0.03
Moravec 1969   13  0.7111  0.027  0.0710  0.353  0.544  0.43
Morozova 2008   70  0.4828  0.0056  0.0455  0.0445  0.0667  0.05
Neighaus 1950   4  0.7565  0.006  0.097  0.3620  0.369  0.36
Niedzielski 1931   48  0.5846  0.0046  0.0456  0.0410  0.3743  0.12
Ohlsson 1999   1  0.783  0.073  0.112  0.4510  0.493  0.47
Osinska 1989   21  0.6873  0.0028  0.0524  0.2122  0.3027  0.25
Pachmann 1927   82  0.3567  0.0086  0.0285  0.0257  0.0583  0.03
Paderewski 1930   22  0.6826  0.0135  0.0433  0.1814  0.3725  0.26
Perlemuter 1992   67  0.4966  0.0070  0.0366  0.0373  0.0377  0.03
Pierdomenico 2008   45  0.6086  0.0055  0.0461  0.0438  0.1355  0.07
Poblocka 1999   7  0.736  0.0417  0.086  0.3815  0.437  0.40
Rabcewiczowa 1932   32  0.6531  0.0037  0.0720  0.2315  0.4114  0.31
Rachmaninoff 1923   80  0.4278  0.0072  0.0459  0.0470  0.0379  0.03
Rangell 2001   41  0.6139  0.0058  0.0546  0.0548  0.0669  0.05
Richter 1976   79  0.4353  0.0085  0.0377  0.0383  0.0382  0.03
Rosen 1989   5  0.7322  0.0118  0.0813  0.327  0.546  0.42
Rosenthal 1930   30  0.6676  0.0054  0.0450  0.0427  0.2844  0.11
Rosenthal 1931   65  0.4947  0.0079  0.0457  0.0439  0.1256  0.07
Rosenthal 1931b   64  0.5160  0.0077  0.0371  0.0338  0.1364  0.06
Rosenthal 1931c   25  0.6716  0.0244  0.0544  0.0921  0.3338  0.17
Rosenthal 1931d   56  0.5462  0.0078  0.0368  0.0336  0.1362  0.06
Rossi 2007   88  0.1789  0.0087  0.0383  0.0351  0.0478  0.03
Rubinstein 1939   83  0.3043  0.0088  0.0288  0.0250  0.0580  0.03
Rubinstein 1952   59  0.5358  0.0061  0.0373  0.0339  0.1365  0.06
Rubinstein 1966   60  0.5374  0.0080  0.0374  0.0356  0.0573  0.04
Schilhawsky 1960   16  0.6932  0.0025  0.0519  0.2423  0.2926  0.26
Shebanova 2002   18  0.6979  0.0032  0.0632  0.1920  0.4221  0.28
Smith 1975   12  0.7118  0.015  0.095  0.4023  0.2612  0.32
Sokolov 2002   24  0.6714  0.0243  0.0542  0.1242  0.1542  0.13
Sztompka 1959   33  0.6423  0.0139  0.0628  0.2020  0.3722  0.27
Tomsic 1995   37  0.6268  0.0053  0.0458  0.0443  0.0960  0.06
Uninsky 1932   63  0.5221  0.0140  0.0734  0.1830  0.2931  0.23
Uninsky 1971   44  0.6036  0.0041  0.0543  0.1131  0.2836  0.18
Wasowski 1980   62  0.5269  0.0066  0.0375  0.0366  0.0476  0.03
Zak 1937   34  0.6487  0.0031  0.0637  0.1730  0.2434  0.20
Zak 1951   46  0.608  0.0310  0.0825  0.2133  0.2233  0.21
Random 1   90  -0.1080  0.0090  0.0190  0.0185  0.0290  0.01
Random 2   89  -0.0559  0.0089  0.0289  0.0247  0.0485  0.03
Random 3   85  0.2477  0.0084  0.0286  0.025  0.4946  0.10

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).