Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.8123  0.008  0.137  0.535  0.5711  0.55
Anderszewski 2003   40  0.6988  0.0053  0.0550  0.0520  0.3063  0.12
Ashkenazy 1981   36  0.7024  0.0020  0.0823  0.3612  0.4826  0.42
Bacha 2000   73  0.5861  0.0066  0.0368  0.0326  0.3076  0.09
Badura 1965   47  0.6721  0.0034  0.0534  0.264  0.5733  0.38
Barbosa 1983   72  0.5851  0.0060  0.0464  0.0411  0.4653  0.14
Biret 1990   35  0.7069  0.0043  0.0641  0.1519  0.3442  0.23
Blet 2003   14  0.7735  0.0022  0.0919  0.402  0.5916  0.49
Block 1995   66  0.6145  0.0042  0.0643  0.129  0.4341  0.23
Blumental 1952   83  0.4957  0.0084  0.0288  0.0278  0.0289  0.02
Boshniakovich 1969   10  0.795  0.016  0.1110  0.514  0.638  0.57
Brailowsky 1960   38  0.7032  0.0051  0.0455  0.048  0.5252  0.14
Bunin 1987   61  0.6350  0.0059  0.0462  0.0416  0.4259  0.13
Bunin 1987b   63  0.6343  0.0058  0.0457  0.0418  0.4357  0.13
Chiu 1999   64  0.6337  0.0038  0.0640  0.173  0.6138  0.32
Cohen 1997   88  0.3666  0.0087  0.0382  0.0341  0.0885  0.05
Cortot 1951   51  0.6679  0.0069  0.0370  0.0336  0.1979  0.08
Csalog 1996   82  0.5033  0.0068  0.0460  0.0431  0.2374  0.10
Czerny 1949   22  0.7562  0.0032  0.0833  0.2814  0.4736  0.36
Czerny 1990   7  0.8058  0.0019  0.0820  0.4012  0.5021  0.45
Duchoud 2007   52  0.6634  0.0048  0.0551  0.0515  0.3954  0.14
Ezaki 2006   5  0.8011  0.0115  0.1216  0.436  0.5217  0.47
Falvay 1989   70  0.5964  0.0062  0.0371  0.0358  0.0686  0.04
Farrell 1958   45  0.6742  0.0056  0.0461  0.0422  0.2670  0.10
Ferenczy 1958   69  0.6180  0.0081  0.0386  0.0358  0.0488  0.03
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   29  0.726  0.014  0.156  0.544  0.654  0.59
Francois 1956   44  0.6886  0.0054  0.0454  0.0426  0.3269  0.11
Friedman 1923   86  0.4538  0.0086  0.0383  0.0337  0.2281  0.08
Friedman 1923b   85  0.4585  0.0085  0.0380  0.0337  0.2278  0.08
Friedman 1930   75  0.5822  0.0072  0.0379  0.0322  0.3968  0.11
Garcia 2007   67  0.6160  0.0064  0.0465  0.048  0.4955  0.14
Garcia 2007b   84  0.4952  0.0074  0.0384  0.0319  0.2480  0.08
Gierzod 1998   6  0.803  0.0211  0.139  0.525  0.619  0.56
Gornostaeva 1994   19  0.7646  0.0033  0.0537  0.244  0.5934  0.38
Groot 1988   32  0.7181  0.0040  0.0538  0.1912  0.5239  0.31
Harasiewicz 1955   42  0.6913  0.0113  0.1017  0.424  0.4922  0.45
Hatto 1993   65  0.6239  0.0035  0.0531  0.298  0.6027  0.42
Hatto 1997   55  0.6574  0.0037  0.0832  0.2910  0.5032  0.38
Horowitz 1949   41  0.6944  0.0046  0.0746  0.0711  0.5846  0.20
Indjic 1988   60  0.6356  0.0036  0.0730  0.307  0.6123  0.43
Kapell 1951   28  0.7236  0.0041  0.0639  0.1824  0.3040  0.23
Kissin 1993   9  0.7926  0.003  0.193  0.554  0.703  0.62
Kushner 1989   3  0.8115  0.0116  0.1215  0.444  0.5913  0.51
Luisada 1991   17  0.7610  0.0110  0.1211  0.482  0.6310  0.55
Lushtak 2004   31  0.7170  0.0025  0.0725  0.313  0.4931  0.39
Malcuzynski 1961   33  0.7155  0.0052  0.0453  0.0413  0.4258  0.13
Magaloff 1978   25  0.7425  0.0021  0.0826  0.313  0.5624  0.42
Magin 1975   30  0.7114  0.0129  0.0628  0.318  0.4930  0.39
Michalowski 1933   79  0.5583  0.0077  0.0375  0.0345  0.1382  0.06
Milkina 1970   26  0.7454  0.0027  0.0624  0.327  0.5425  0.42
Mohovich 1999   20  0.7663  0.0028  0.0527  0.3113  0.5228  0.40
Moravec 1969   81  0.5367  0.0083  0.0376  0.0362  0.0487  0.03
Morozova 2008   24  0.7516  0.0114  0.1414  0.453  0.5515  0.50
Neighaus 1950   2  0.824  0.022  0.242  0.642  0.702  0.67
Niedzielski 1931   53  0.6647  0.0063  0.0373  0.039  0.4661  0.12
Ohlsson 1999   11  0.7930  0.0012  0.1212  0.488  0.5214  0.50
Osinska 1989   8  0.7953  0.0023  0.0822  0.386  0.5718  0.47
Pachmann 1927   56  0.6427  0.0057  0.0456  0.042  0.6649  0.16
Paderewski 1930   50  0.6673  0.0070  0.0385  0.0314  0.3572  0.10
Perlemuter 1992   37  0.7020  0.0130  0.0636  0.245  0.5237  0.35
Pierdomenico 2008   68  0.6171  0.0076  0.0372  0.0325  0.3766  0.11
Poblocka 1999   13  0.789  0.0117  0.1313  0.473  0.5712  0.52
Rabcewiczowa 1932   58  0.6440  0.0061  0.0467  0.0435  0.2177  0.09
Rachmaninoff 1923   34  0.7118  0.0131  0.0635  0.257  0.5135  0.36
Rangell 2001   71  0.5912  0.0165  0.0466  0.048  0.4656  0.14
Richter 1976   46  0.6741  0.0047  0.0548  0.056  0.5448  0.16
Rosen 1989   21  0.7519  0.0124  0.1021  0.394  0.5619  0.47
Rosenthal 1930   54  0.6672  0.0071  0.0377  0.0313  0.4764  0.12
Rosenthal 1931   76  0.5782  0.0078  0.0287  0.0214  0.5073  0.10
Rosenthal 1931b   77  0.5684  0.0079  0.0378  0.0315  0.4565  0.12
Rosenthal 1931c   57  0.6448  0.0073  0.0369  0.0311  0.5360  0.13
Rosenthal 1931d   74  0.5889  0.0080  0.0552  0.0514  0.4550  0.15
Rossi 2007   87  0.4368  0.0088  0.0459  0.0454  0.0683  0.05
Rubinstein 1939   80  0.5477  0.0082  0.0374  0.038  0.4267  0.11
Rubinstein 1952   78  0.5628  0.0050  0.0549  0.0523  0.4451  0.15
Rubinstein 1966   39  0.7076  0.0049  0.0647  0.066  0.6347  0.19
Schilhawsky 1960   15  0.7775  0.0018  0.1018  0.4011  0.5020  0.45
Shebanova 2002   12  0.782  0.039  0.128  0.523  0.637  0.57
Smith 1975   18  0.7631  0.0026  0.0629  0.309  0.5129  0.39
Sokolov 2002   43  0.6959  0.0044  0.0544  0.1233  0.3445  0.20
Sztompka 1959   27  0.7317  0.0145  0.0742  0.1323  0.3444  0.21
Tomsic 1995   62  0.6378  0.0075  0.0381  0.0329  0.3171  0.10
Uninsky 1932   59  0.6365  0.0067  0.0463  0.0432  0.2675  0.10
Uninsky 1971   48  0.6749  0.0055  0.0458  0.0427  0.3462  0.12
Wasowski 1980   49  0.677  0.0139  0.0645  0.117  0.4043  0.21
Zak 1937   16  0.7629  0.007  0.105  0.544  0.645  0.59
Zak 1951   23  0.758  0.015  0.154  0.554  0.646  0.59
Average   1  0.921  0.741  0.741  0.871  0.751  0.81
Random 1   90  -0.1390  0.0090  0.0190  0.0157  0.0490  0.02
Random 2   89  -0.0887  0.0089  0.0289  0.0240  0.1184  0.05
Random 3   91  -0.1491  0.0091  0.0191  0.0188  0.0291  0.01

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).