Luisada 1991

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.3719  0.0035  0.0736  0.2829  0.3635  0.32
Anderszewski 2003   78  0.1485  0.0074  0.0561  0.0555  0.0569  0.05
Ashkenazy 1981   2  0.606  0.063  0.222  0.827  0.821  0.82
Bacha 2000   76  0.2059  0.0067  0.0569  0.0565  0.0473  0.04
Badura 1965   65  0.2647  0.0069  0.0478  0.0449  0.0578  0.04
Barbosa 1983   12  0.4844  0.0014  0.159  0.701  0.747  0.72
Biret 1990   42  0.3856  0.0046  0.0750  0.0711  0.6544  0.21
Blet 2003   4  0.574  0.085  0.264  0.781  0.795  0.78
Block 1995   52  0.3468  0.0052  0.0849  0.0851  0.0655  0.07
Blumental 1952   58  0.3057  0.0063  0.0753  0.0754  0.0563  0.06
Boshniakovich 1969   33  0.4135  0.0027  0.0926  0.4725  0.4626  0.46
Brailowsky 1960   77  0.1518  0.0080  0.0475  0.0468  0.0474  0.04
Bunin 1987   19  0.4626  0.0019  0.1015  0.607  0.6515  0.62
Bunin 1987b   20  0.4667  0.0022  0.1417  0.597  0.6316  0.61
Chiu 1999   21  0.4611  0.0125  0.1021  0.5328  0.4324  0.48
Cohen 1997   73  0.2022  0.0079  0.0481  0.0479  0.0282  0.03
Cortot 1951   80  0.1162  0.0088  0.0287  0.0288  0.0288  0.02
Csalog 1996   39  0.3924  0.0041  0.0939  0.2717  0.5031  0.37
Czerny 1949   82  0.1052  0.0085  0.0285  0.0271  0.0481  0.03
Czerny 1990   17  0.4616  0.0015  0.1412  0.6413  0.7510  0.69
Duchoud 2007   34  0.4046  0.0043  0.1142  0.2331  0.3339  0.28
Ezaki 2006   71  0.2270  0.0054  0.0563  0.0552  0.0757  0.06
Falvay 1989   53  0.3436  0.0036  0.0634  0.2928  0.2838  0.28
Farrell 1958   62  0.2886  0.0066  0.0654  0.0656  0.0659  0.06
Ferenczy 1958   89  0.0077  0.0089  0.0189  0.0162  0.0586  0.02
Fliere 1977   6  0.5423  0.0012  0.1210  0.6826  0.5914  0.63
Fou 1978   50  0.3520  0.0040  0.0743  0.2239  0.2143  0.21
Francois 1956   69  0.2430  0.0071  0.0473  0.0450  0.0672  0.05
Friedman 1923   28  0.4312  0.0131  0.1040  0.2637  0.3736  0.31
Friedman 1923b   23  0.4463  0.0029  0.1031  0.3434  0.4530  0.39
Friedman 1930   38  0.3933  0.0047  0.1046  0.1041  0.2847  0.17
Garcia 2007   44  0.3739  0.0045  0.1445  0.1432  0.3742  0.23
Garcia 2007b   5  0.552  0.106  0.255  0.771  0.833  0.80
Gierzod 1998   83  0.0938  0.0075  0.0566  0.0573  0.0376  0.04
Gornostaeva 1994   74  0.2073  0.0073  0.0476  0.0473  0.0383  0.03
Groot 1988   1  0.613  0.104  0.261  0.831  0.802  0.81
Harasiewicz 1955   35  0.4055  0.0037  0.0741  0.2442  0.1445  0.18
Hatto 1993   7  0.547  0.052  0.226  0.766  0.746  0.75
Hatto 1997   13  0.4825  0.008  0.257  0.723  0.708  0.71
Horowitz 1949   18  0.468  0.0223  0.1328  0.4128  0.4528  0.43
Indjic 1988   3  0.581  0.411  0.403  0.805  0.784  0.79
Kapell 1951   30  0.4231  0.0026  0.1124  0.5117  0.4525  0.48
Kissin 1993   22  0.4517  0.009  0.1219  0.5719  0.6118  0.59
Kushner 1989   43  0.3749  0.0044  0.1044  0.2035  0.2641  0.23
Luisada 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   72  0.2178  0.0072  0.0480  0.0471  0.0479  0.04
Malcuzynski 1961   47  0.3664  0.0050  0.0658  0.0650  0.0760  0.06
Magaloff 1978   60  0.3079  0.0062  0.0655  0.0656  0.0565  0.05
Magin 1975   15  0.4728  0.0016  0.1414  0.6210  0.769  0.69
Michalowski 1933   11  0.5010  0.0110  0.1113  0.637  0.6017  0.61
Milkina 1970   70  0.2269  0.0061  0.0559  0.0537  0.2552  0.11
Mohovich 1999   68  0.2474  0.0065  0.0848  0.0856  0.0656  0.07
Moravec 1969   49  0.3558  0.0051  0.0752  0.0734  0.2149  0.12
Morozova 2008   24  0.4413  0.0111  0.1116  0.5911  0.5320  0.56
Neighaus 1950   37  0.4032  0.0042  0.0933  0.2948  0.0948  0.16
Niedzielski 1931   29  0.4234  0.0024  0.0925  0.5117  0.4923  0.50
Ohlsson 1999   55  0.3371  0.0055  0.0565  0.0565  0.0475  0.04
Osinska 1989   61  0.2975  0.0058  0.0562  0.0553  0.0664  0.05
Pachmann 1927   48  0.3680  0.0057  0.0657  0.0648  0.0761  0.06
Paderewski 1930   31  0.4150  0.0034  0.0829  0.3823  0.5427  0.45
Perlemuter 1992   36  0.4029  0.0048  0.0947  0.0937  0.3446  0.17
Pierdomenico 2008   51  0.3442  0.0056  0.0470  0.0452  0.0667  0.05
Poblocka 1999   14  0.4721  0.0020  0.0920  0.558  0.5819  0.56
Rabcewiczowa 1932   75  0.2087  0.0077  0.0471  0.0453  0.0668  0.05
Rachmaninoff 1923   26  0.4337  0.0030  0.0838  0.2725  0.4632  0.35
Rangell 2001   67  0.2543  0.0068  0.0568  0.0550  0.0671  0.05
Richter 1976   32  0.4114  0.0138  0.0635  0.2840  0.3934  0.33
Rosen 1989   64  0.2665  0.0064  0.0751  0.0774  0.0370  0.05
Rosenthal 1930   63  0.2751  0.0070  0.0472  0.0454  0.0577  0.04
Rosenthal 1931   86  0.0483  0.0086  0.0283  0.0278  0.0285  0.02
Rosenthal 1931b   84  0.0784  0.0083  0.0284  0.0270  0.0389  0.02
Rosenthal 1931c   81  0.1181  0.0081  0.0477  0.0487  0.0190  0.02
Rosenthal 1931d   79  0.1266  0.0078  0.0479  0.0458  0.0480  0.04
Rossi 2007   88  0.0188  0.0087  0.0288  0.0275  0.0384  0.02
Rubinstein 1939   59  0.3082  0.0060  0.0567  0.0555  0.0758  0.06
Rubinstein 1952   46  0.3760  0.0039  0.0637  0.2722  0.4333  0.34
Rubinstein 1966   41  0.3815  0.0032  0.0832  0.3232  0.2340  0.27
Schilhawsky 1960   57  0.3072  0.0053  0.0564  0.0533  0.2850  0.12
Shebanova 2002   8  0.535  0.077  0.308  0.7221  0.6311  0.67
Smith 1975   66  0.2545  0.0076  0.0474  0.0453  0.0666  0.05
Sokolov 2002   54  0.3353  0.0049  0.0656  0.0639  0.2051  0.11
Sztompka 1959   27  0.4361  0.0033  0.0730  0.3639  0.2437  0.29
Tomsic 1995   40  0.3927  0.0017  0.1523  0.517  0.5522  0.53
Uninsky 1932   9  0.509  0.0218  0.1122  0.5330  0.3529  0.43
Uninsky 1971   56  0.3154  0.0059  0.0560  0.0551  0.0762  0.06
Wasowski 1980   10  0.5040  0.0013  0.1411  0.6611  0.6612  0.66
Zak 1937   16  0.4741  0.0021  0.1018  0.585  0.7313  0.65
Zak 1951   25  0.4489  0.0028  0.0827  0.416  0.6821  0.53
Random 1   85  0.0748  0.0084  0.0286  0.0222  0.3054  0.08
Random 2   87  0.0476  0.0082  0.0382  0.0325  0.3053  0.09
Random 3   90  -0.0290  0.0090  0.0190  0.0154  0.0387  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).