Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.7528  0.006  0.128  0.4543  0.1617  0.27
Anderszewski 2003   46  0.6174  0.0059  0.0651  0.0668  0.0457  0.05
Ashkenazy 1981   75  0.4829  0.0066  0.0468  0.0468  0.0471  0.04
Bacha 2000   60  0.5542  0.0048  0.0561  0.0546  0.0652  0.05
Badura 1965   45  0.6217  0.0147  0.0562  0.0545  0.1444  0.08
Barbosa 1983   61  0.5524  0.0153  0.0846  0.0827  0.2233  0.13
Biret 1990   41  0.634  0.078  0.1110  0.3924  0.279  0.32
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   67  0.5218  0.0121  0.0638  0.1643  0.0935  0.12
Blumental 1952   48  0.6081  0.0035  0.0642  0.1462  0.0448  0.07
Boshniakovich 1969   23  0.6734  0.0036  0.0636  0.1765  0.0541  0.09
Brailowsky 1960   56  0.5775  0.0069  0.0466  0.0468  0.0464  0.04
Bunin 1987   86  0.3685  0.0081  0.0288  0.0259  0.0588  0.03
Bunin 1987b   87  0.3563  0.0080  0.0385  0.0355  0.0669  0.04
Chiu 1999   58  0.5683  0.0057  0.0750  0.0778  0.0353  0.05
Cohen 1997   76  0.471  0.181  0.1825  0.291  0.533  0.39
Cortot 1951   35  0.6536  0.0046  0.0564  0.0559  0.0475  0.04
Csalog 1996   57  0.5611  0.0316  0.0734  0.1925  0.3021  0.24
Czerny 1949   43  0.6366  0.0055  0.0654  0.0663  0.0458  0.05
Czerny 1990   9  0.717  0.0418  0.0519  0.3640  0.1224  0.21
Duchoud 2007   79  0.4341  0.0064  0.0560  0.0558  0.0559  0.05
Ezaki 2006   40  0.6412  0.0220  0.0645  0.0980  0.0351  0.05
Falvay 1989   77  0.4572  0.0085  0.0286  0.0264  0.0582  0.03
Farrell 1958   62  0.5586  0.0056  0.0655  0.0659  0.0554  0.05
Ferenczy 1958   19  0.689  0.0315  0.0633  0.1925  0.2823  0.23
Fliere 1977   1  0.782  0.142  0.141  0.5329  0.226  0.34
Fou 1978   17  0.6910  0.035  0.123  0.4720  0.342  0.40
Francois 1956   42  0.6367  0.0052  0.0747  0.0733  0.2136  0.12
Friedman 1923   51  0.5931  0.0061  0.0558  0.0574  0.0478  0.04
Friedman 1923b   53  0.5919  0.0160  0.0653  0.0661  0.0561  0.05
Friedman 1930   55  0.5735  0.0070  0.0383  0.0356  0.0670  0.04
Garcia 2007   14  0.7046  0.0024  0.0516  0.3729  0.278  0.32
Garcia 2007b   37  0.6476  0.0030  0.0622  0.3245  0.0828  0.16
Gierzod 1998   12  0.7187  0.0025  0.0611  0.3859  0.0532  0.14
Gornostaeva 1994   59  0.5632  0.0067  0.0559  0.0576  0.0372  0.04
Groot 1988   66  0.5254  0.0065  0.0465  0.0470  0.0474  0.04
Harasiewicz 1955   33  0.6527  0.0151  0.0652  0.0654  0.0562  0.05
Hatto 1993   34  0.6533  0.0011  0.1113  0.3833  0.2214  0.29
Hatto 1997   25  0.6684  0.0013  0.0917  0.3734  0.2213  0.29
Horowitz 1949   71  0.4949  0.0078  0.0384  0.0376  0.0484  0.03
Indjic 1988   24  0.6789  0.0012  0.1015  0.3834  0.2311  0.30
Kapell 1951   30  0.6644  0.0026  0.0723  0.3074  0.0340  0.09
Kissin 1993   8  0.7268  0.0019  0.0620  0.3438  0.1819  0.25
Kushner 1989   11  0.7171  0.0029  0.0721  0.3434  0.2116  0.27
Luisada 1991   4  0.746  0.047  0.147  0.4636  0.1715  0.28
Lushtak 2004   27  0.6626  0.0133  0.0726  0.2843  0.1026  0.17
Malcuzynski 1961   84  0.4148  0.0077  0.0382  0.0376  0.0383  0.03
Magaloff 1978   69  0.5182  0.0074  0.0377  0.0370  0.0480  0.03
Magin 1975   49  0.5956  0.0058  0.0557  0.0584  0.0368  0.04
Michalowski 1933   50  0.5930  0.0054  0.0748  0.0763  0.0550  0.06
Milkina 1970   22  0.6715  0.0214  0.0827  0.2842  0.1525  0.20
Mohovich 1999   29  0.6625  0.0137  0.0632  0.2256  0.0638  0.11
Moravec 1969   72  0.4955  0.0084  0.0472  0.0454  0.0563  0.04
Morozova 2008   20  0.6747  0.0022  0.0528  0.2835  0.1922  0.23
Neighaus 1950   47  0.6164  0.0044  0.0643  0.1367  0.0545  0.08
Niedzielski 1931   26  0.6657  0.0050  0.0749  0.0745  0.0943  0.08
Ohlsson 1999   64  0.5443  0.0045  0.0544  0.0972  0.0449  0.06
Osinska 1989   18  0.6852  0.0039  0.0635  0.1870  0.0442  0.08
Pachmann 1927   54  0.5778  0.0072  0.0381  0.0356  0.0485  0.03
Paderewski 1930   36  0.6461  0.0034  0.0629  0.2420  0.3710  0.30
Perlemuter 1992   5  0.733  0.084  0.185  0.4622  0.294  0.37
Pierdomenico 2008   85  0.3769  0.0079  0.0380  0.0356  0.0667  0.04
Poblocka 1999   16  0.6953  0.0031  0.0714  0.3847  0.0727  0.16
Rabcewiczowa 1932   28  0.6665  0.0028  0.0524  0.2928  0.2318  0.26
Rachmaninoff 1923   65  0.5473  0.0071  0.0376  0.0386  0.0381  0.03
Rangell 2001   88  0.3239  0.0076  0.0373  0.0366  0.0389  0.03
Richter 1976   68  0.5221  0.0168  0.0469  0.0452  0.0656  0.05
Rosen 1989   7  0.7213  0.0210  0.124  0.4726  0.275  0.36
Rosenthal 1930   74  0.4958  0.0082  0.0471  0.0473  0.0387  0.03
Rosenthal 1931   83  0.4150  0.0087  0.0287  0.0247  0.0686  0.03
Rosenthal 1931b   81  0.4259  0.0086  0.0378  0.0363  0.0576  0.04
Rosenthal 1931c   78  0.4479  0.0083  0.0379  0.0353  0.0577  0.04
Rosenthal 1931d   82  0.4170  0.0088  0.0470  0.0471  0.0473  0.04
Rossi 2007   73  0.4922  0.0175  0.0374  0.0365  0.0565  0.04
Rubinstein 1939   44  0.6223  0.0143  0.0741  0.1515  0.3720  0.24
Rubinstein 1952   63  0.5577  0.0049  0.0556  0.0522  0.4330  0.15
Rubinstein 1966   39  0.6420  0.0138  0.0631  0.2217  0.4012  0.30
Schilhawsky 1960   15  0.6945  0.0032  0.0730  0.2451  0.0634  0.12
Shebanova 2002   13  0.7062  0.0027  0.0518  0.3776  0.0337  0.11
Smith 1975   52  0.5937  0.0062  0.0563  0.0588  0.0366  0.04
Sokolov 2002   80  0.4351  0.0063  0.0467  0.0482  0.0379  0.03
Sztompka 1959   21  0.6714  0.0223  0.0512  0.3853  0.0629  0.15
Tomsic 1995   70  0.5038  0.0073  0.0375  0.0350  0.0855  0.05
Uninsky 1932   6  0.7216  0.0217  0.069  0.3934  0.277  0.32
Uninsky 1971   10  0.718  0.039  0.116  0.4632  0.361  0.41
Wasowski 1980   32  0.6640  0.0042  0.0639  0.1650  0.0639  0.10
Zak 1937   31  0.6691  0.0040  0.0737  0.1684  0.0346  0.07
Zak 1951   38  0.6488  0.0041  0.0740  0.1582  0.0347  0.07
Average   2  0.785  0.063  0.152  0.5057  0.0431  0.14
Random 1   89  -0.1380  0.0090  0.0189  0.0127  0.2360  0.05
Random 2   90  -0.1490  0.0089  0.0190  0.0166  0.0390  0.02
Random 3   91  -0.2160  0.0091  0.0191  0.0154  0.0591  0.02

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).