Csalog 1996

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.5810  0.0232  0.0731  0.2772  0.0337  0.09
Anderszewski 2003   77  0.1724  0.0054  0.0747  0.0789  0.0254  0.04
Ashkenazy 1981   51  0.4082  0.0041  0.0936  0.2378  0.0342  0.08
Bacha 2000   4  0.6920  0.0112  0.0812  0.479  0.484  0.47
Badura 1965   56  0.3637  0.0036  0.0834  0.2556  0.0431  0.10
Barbosa 1983   25  0.535  0.076  0.1111  0.4723  0.376  0.42
Biret 1990   8  0.6263  0.0010  0.0914  0.4646  0.0721  0.18
Blet 2003   34  0.4856  0.0051  0.0748  0.0765  0.0448  0.05
Block 1995   64  0.3121  0.0078  0.0375  0.0388  0.0281  0.02
Blumental 1952   81  0.1250  0.0081  0.0374  0.0389  0.0282  0.02
Boshniakovich 1969   58  0.3529  0.0063  0.0377  0.0386  0.0283  0.02
Brailowsky 1960   37  0.4859  0.0013  0.0829  0.2840  0.1219  0.18
Bunin 1987   70  0.2852  0.0075  0.0286  0.0282  0.0384  0.02
Bunin 1987b   69  0.2868  0.0076  0.0364  0.0382  0.0361  0.03
Chiu 1999   53  0.3942  0.0025  0.0720  0.3955  0.0524  0.14
Cohen 1997   19  0.554  0.083  0.204  0.551  0.592  0.57
Cortot 1951   52  0.3933  0.0070  0.0378  0.0379  0.0371  0.03
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   59  0.3473  0.0061  0.0363  0.0381  0.0366  0.03
Czerny 1990   46  0.4253  0.0059  0.0461  0.0484  0.0368  0.03
Duchoud 2007   31  0.5022  0.0040  0.0641  0.1968  0.0439  0.09
Ezaki 2006   50  0.4148  0.0053  0.0651  0.0674  0.0351  0.04
Falvay 1989   6  0.6316  0.019  0.105  0.5455  0.0523  0.16
Farrell 1958   36  0.4858  0.0069  0.0372  0.0373  0.0360  0.03
Ferenczy 1958   39  0.4734  0.0055  0.0649  0.0667  0.0355  0.04
Fliere 1977   24  0.5338  0.0028  0.0822  0.3782  0.0327  0.11
Fou 1978   41  0.4625  0.0027  0.0725  0.3466  0.0526  0.13
Francois 1956   29  0.5139  0.0034  0.0937  0.2248  0.0534  0.10
Friedman 1923   91  -0.2488  0.0091  0.0191  0.0189  0.0191  0.01
Friedman 1923b   90  -0.2381  0.0090  0.0290  0.0290  0.0188  0.01
Friedman 1930   87  -0.1047  0.0088  0.0288  0.0289  0.0187  0.01
Garcia 2007   80  0.1266  0.0085  0.0366  0.0389  0.0179  0.02
Garcia 2007b   89  -0.1570  0.0089  0.0287  0.0291  0.0190  0.01
Gierzod 1998   21  0.5483  0.0037  0.0727  0.3082  0.0338  0.09
Gornostaeva 1994   43  0.4354  0.0067  0.0371  0.0386  0.0285  0.02
Groot 1988   10  0.6023  0.0031  0.0935  0.2469  0.0343  0.08
Harasiewicz 1955   82  0.0962  0.0064  0.0373  0.0385  0.0372  0.03
Hatto 1993   72  0.2484  0.0014  0.1133  0.2748  0.0433  0.10
Hatto 1997   63  0.3230  0.0015  0.1232  0.2766  0.0336  0.09
Horowitz 1949   40  0.4660  0.0043  0.0740  0.1962  0.0435  0.09
Indjic 1988   67  0.2985  0.0011  0.0930  0.2740  0.1122  0.17
Kapell 1951   26  0.5375  0.0038  0.0642  0.1866  0.0346  0.07
Kissin 1993   28  0.516  0.0322  0.109  0.5244  0.1315  0.26
Kushner 1989   33  0.4957  0.0049  0.0652  0.0674  0.0353  0.04
Luisada 1991   71  0.2740  0.0029  0.0939  0.2282  0.0341  0.08
Lushtak 2004   44  0.4319  0.0119  0.0823  0.3670  0.0332  0.10
Malcuzynski 1961   35  0.4886  0.0065  0.0370  0.0378  0.0362  0.03
Magaloff 1978   32  0.4951  0.0044  0.0744  0.1563  0.0344  0.07
Magin 1975   78  0.1643  0.0052  0.0655  0.0676  0.0258  0.03
Michalowski 1933   85  -0.0112  0.0180  0.0284  0.0287  0.0277  0.02
Milkina 1970   5  0.6731  0.008  0.0810  0.5031  0.2410  0.35
Mohovich 1999   27  0.5274  0.0046  0.0946  0.0984  0.0350  0.05
Moravec 1969   7  0.6314  0.0117  0.1021  0.3828  0.2213  0.29
Morozova 2008   76  0.1867  0.0048  0.0556  0.0584  0.0264  0.03
Neighaus 1950   48  0.4146  0.0066  0.0368  0.0372  0.0370  0.03
Niedzielski 1931   23  0.5341  0.0033  0.0738  0.2235  0.1718  0.19
Ohlsson 1999   11  0.6027  0.005  0.157  0.5225  0.258  0.36
Osinska 1989   16  0.5649  0.0030  0.1015  0.4460  0.0425  0.13
Pachmann 1927   17  0.5615  0.0120  0.0818  0.4422  0.397  0.41
Paderewski 1930   47  0.4269  0.0058  0.0558  0.0587  0.0263  0.03
Perlemuter 1992   68  0.2955  0.0060  0.0362  0.0370  0.0357  0.03
Pierdomenico 2008   57  0.3587  0.0042  0.0943  0.1872  0.0345  0.07
Poblocka 1999   3  0.693  0.114  0.143  0.5722  0.325  0.43
Rabcewiczowa 1932   62  0.3264  0.0072  0.0459  0.0482  0.0259  0.03
Rachmaninoff 1923   79  0.1389  0.0084  0.0283  0.0286  0.0274  0.02
Rangell 2001   14  0.5844  0.0024  0.0719  0.4446  0.0720  0.18
Richter 1976   30  0.509  0.0223  0.0713  0.4729  0.1614  0.27
Rosen 1989   38  0.477  0.0356  0.0654  0.0667  0.0356  0.04
Rosenthal 1930   61  0.3378  0.0077  0.0381  0.0386  0.0280  0.02
Rosenthal 1931   74  0.2079  0.0083  0.0367  0.0390  0.0178  0.02
Rosenthal 1931b   73  0.2165  0.0082  0.0285  0.0290  0.0189  0.01
Rosenthal 1931c   54  0.3761  0.0074  0.0460  0.0488  0.0273  0.03
Rosenthal 1931d   60  0.3476  0.0057  0.0557  0.0576  0.0269  0.03
Rossi 2007   88  -0.1232  0.0087  0.0289  0.0289  0.0186  0.01
Rubinstein 1939   49  0.4128  0.007  0.1026  0.3016  0.419  0.35
Rubinstein 1952   1  0.731  0.351  0.351  0.615  0.591  0.60
Rubinstein 1966   9  0.6226  0.0026  0.0917  0.4428  0.2712  0.34
Schilhawsky 1960   42  0.4580  0.0045  0.0645  0.1287  0.0249  0.05
Shebanova 2002   2  0.702  0.112  0.292  0.589  0.503  0.54
Smith 1975   66  0.2990  0.0062  0.0369  0.0387  0.0275  0.02
Sokolov 2002   45  0.4218  0.0150  0.0650  0.0667  0.0352  0.04
Sztompka 1959   65  0.3071  0.0068  0.0365  0.0385  0.0276  0.02
Tomsic 1995   20  0.5413  0.0135  0.0728  0.2958  0.0428  0.11
Uninsky 1932   75  0.1936  0.0071  0.0379  0.0377  0.0365  0.03
Uninsky 1971   55  0.378  0.0247  0.0653  0.0651  0.0547  0.05
Wasowski 1980   18  0.5645  0.0018  0.0816  0.4419  0.2711  0.34
Zak 1937   12  0.5917  0.0116  0.086  0.5343  0.1216  0.25
Zak 1951   22  0.5411  0.0121  0.098  0.5245  0.0917  0.22
Average   15  0.5635  0.0039  0.0624  0.3572  0.0329  0.10
Random 1   86  -0.0172  0.0079  0.0380  0.0324  0.2740  0.09
Random 2   84  0.0277  0.0073  0.0376  0.0318  0.3230  0.10
Random 3   83  0.0491  0.0086  0.0382  0.0358  0.0467  0.03

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).