Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   1  0.8011  0.025  0.125  0.526  0.435  0.47
Anderszewski 2003   57  0.5427  0.0135  0.0639  0.1228  0.2436  0.17
Ashkenazy 1981   39  0.6244  0.0026  0.0826  0.2332  0.2133  0.22
Bacha 2000   70  0.4642  0.0085  0.0380  0.0377  0.0371  0.03
Badura 1965   42  0.6155  0.0018  0.0819  0.343  0.606  0.45
Barbosa 1983   9  0.751  0.211  0.211  0.631  0.581  0.60
Biret 1990   26  0.6673  0.0043  0.0542  0.1147  0.0551  0.07
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   71  0.4620  0.0146  0.0456  0.0453  0.0466  0.04
Blumental 1952   74  0.4434  0.0062  0.0462  0.0440  0.1053  0.06
Boshniakovich 1969   52  0.5758  0.0065  0.0375  0.0348  0.0667  0.04
Brailowsky 1960   64  0.4947  0.0081  0.0284  0.0281  0.0385  0.02
Bunin 1987   6  0.758  0.0310  0.1113  0.409  0.4610  0.43
Bunin 1987b   7  0.7564  0.0011  0.1812  0.409  0.469  0.43
Chiu 1999   53  0.5639  0.0055  0.0745  0.0739  0.1346  0.10
Cohen 1997   86  0.1981  0.0087  0.0379  0.0382  0.0288  0.02
Cortot 1951   38  0.6254  0.0033  0.0541  0.1223  0.3234  0.20
Csalog 1996   66  0.4865  0.0076  0.0464  0.0447  0.0756  0.05
Czerny 1949   25  0.6676  0.0024  0.0823  0.3223  0.3224  0.32
Czerny 1990   2  0.7719  0.014  0.118  0.4912  0.398  0.44
Duchoud 2007   14  0.739  0.036  0.147  0.494  0.513  0.50
Ezaki 2006   3  0.7666  0.008  0.146  0.5119  0.3213  0.40
Falvay 1989   30  0.6416  0.0160  0.0458  0.0457  0.0460  0.04
Farrell 1958   47  0.5880  0.0070  0.0463  0.0454  0.0461  0.04
Ferenczy 1958   20  0.6941  0.0028  0.0825  0.2514  0.4123  0.32
Fliere 1977   4  0.7610  0.029  0.154  0.5219  0.3114  0.40
Fou 1978   44  0.5948  0.0051  0.0461  0.0461  0.0562  0.04
Francois 1956   32  0.6467  0.0036  0.0637  0.1533  0.1538  0.15
Friedman 1923   85  0.2761  0.0068  0.0459  0.0416  0.4242  0.13
Friedman 1923b   84  0.2735  0.0067  0.0371  0.0317  0.4145  0.11
Friedman 1930   82  0.3328  0.0041  0.0640  0.1227  0.3035  0.19
Garcia 2007   77  0.3946  0.0073  0.0373  0.0339  0.1650  0.07
Garcia 2007b   87  0.1622  0.0184  0.0383  0.0369  0.0384  0.03
Gierzod 1998   51  0.5757  0.0064  0.0370  0.0376  0.0381  0.03
Gornostaeva 1994   31  0.6417  0.0120  0.0738  0.1441  0.1341  0.13
Groot 1988   22  0.6777  0.0050  0.0460  0.0455  0.0468  0.04
Harasiewicz 1955   67  0.4874  0.0045  0.0548  0.0553  0.0469  0.04
Hatto 1993   72  0.4523  0.0140  0.0736  0.1517  0.3532  0.23
Hatto 1997   56  0.5553  0.0034  0.0627  0.2316  0.3925  0.30
Horowitz 1949   73  0.4556  0.0074  0.0377  0.0367  0.0379  0.03
Indjic 1988   65  0.4975  0.0039  0.0430  0.1812  0.4028  0.27
Kapell 1951   15  0.7331  0.0017  0.0816  0.3818  0.4315  0.40
Kissin 1993   43  0.6132  0.0058  0.0455  0.0461  0.0465  0.04
Kushner 1989   23  0.6736  0.0048  0.0551  0.0552  0.0463  0.04
Luisada 1991   35  0.6215  0.0147  0.0549  0.0546  0.0654  0.05
Lushtak 2004   12  0.743  0.103  0.152  0.549  0.512  0.52
Malcuzynski 1961   21  0.6824  0.0137  0.0534  0.1651  0.0449  0.08
Magaloff 1978   60  0.5382  0.0049  0.0454  0.0466  0.0373  0.03
Magin 1975   68  0.4833  0.0071  0.0467  0.0468  0.0377  0.03
Michalowski 1933   79  0.3679  0.0031  0.0528  0.2123  0.3727  0.28
Milkina 1970   54  0.5625  0.0175  0.0374  0.0370  0.0478  0.03
Mohovich 1999   5  0.7621  0.0119  0.119  0.4315  0.3717  0.40
Moravec 1969   48  0.5869  0.0072  0.0466  0.0455  0.0459  0.04
Morozova 2008   27  0.6659  0.0027  0.0724  0.2915  0.2430  0.26
Neighaus 1950   24  0.6737  0.0021  0.0611  0.4131  0.2721  0.33
Niedzielski 1931   75  0.4245  0.0078  0.0381  0.0366  0.0376  0.03
Ohlsson 1999   28  0.6570  0.0042  0.0632  0.1738  0.1437  0.15
Osinska 1989   34  0.6484  0.0052  0.0465  0.0444  0.0852  0.06
Pachmann 1927   58  0.5472  0.0059  0.0453  0.0426  0.2844  0.11
Paderewski 1930   41  0.6113  0.0232  0.0629  0.2113  0.3826  0.28
Perlemuter 1992   17  0.7218  0.0116  0.0815  0.3910  0.4311  0.41
Pierdomenico 2008   69  0.4771  0.0080  0.0469  0.0466  0.0374  0.03
Poblocka 1999   10  0.7429  0.0014  0.0914  0.409  0.487  0.44
Rabcewiczowa 1932   50  0.5785  0.0053  0.0552  0.0530  0.2147  0.10
Rachmaninoff 1923   49  0.5738  0.0044  0.0543  0.0936  0.1443  0.11
Rangell 2001   59  0.544  0.0512  0.0731  0.1712  0.3131  0.23
Richter 1976   40  0.6230  0.0057  0.0547  0.0545  0.0655  0.05
Rosen 1989   46  0.5952  0.0038  0.0444  0.0940  0.1840  0.13
Rosenthal 1930   61  0.5168  0.0069  0.0376  0.0354  0.0482  0.03
Rosenthal 1931   76  0.3983  0.0077  0.0378  0.0372  0.0380  0.03
Rosenthal 1931b   81  0.3486  0.0082  0.0287  0.0273  0.0390  0.02
Rosenthal 1931c   63  0.5187  0.0066  0.0372  0.0351  0.0570  0.04
Rosenthal 1931d   78  0.3790  0.0083  0.0285  0.0281  0.0289  0.02
Rossi 2007   83  0.2888  0.0079  0.0382  0.0364  0.0372  0.03
Rubinstein 1939   80  0.3549  0.0086  0.0286  0.0249  0.0575  0.03
Rubinstein 1952   62  0.5126  0.0163  0.0468  0.0455  0.0658  0.05
Rubinstein 1966   19  0.6950  0.0030  0.0633  0.1615  0.4529  0.27
Schilhawsky 1960   33  0.645  0.0415  0.0818  0.3717  0.3619  0.36
Shebanova 2002   45  0.5943  0.0061  0.0550  0.0556  0.0557  0.05
Smith 1975   13  0.732  0.162  0.163  0.541  0.454  0.49
Sokolov 2002   18  0.7189  0.0025  0.0722  0.3225  0.3520  0.33
Sztompka 1959   8  0.757  0.037  0.1410  0.4215  0.4112  0.41
Tomsic 1995   11  0.7414  0.0222  0.0721  0.3422  0.3122  0.32
Uninsky 1932   29  0.6512  0.0223  0.0720  0.3420  0.4118  0.37
Uninsky 1971   16  0.7240  0.0013  0.0717  0.3816  0.4316  0.40
Wasowski 1980   55  0.556  0.0429  0.0735  0.1634  0.1239  0.14
Zak 1937   36  0.6251  0.0056  0.0457  0.0452  0.0564  0.04
Zak 1951   37  0.6260  0.0054  0.0646  0.0639  0.1748  0.10
Random 1   89  -0.0763  0.0090  0.0190  0.0158  0.0487  0.02
Random 2   90  -0.1662  0.0089  0.0189  0.0153  0.0386  0.02
Random 3   88  0.0278  0.0088  0.0288  0.0252  0.0583  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).