Gierzod 1998

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.747  0.036  0.128  0.536  0.548  0.53
Anderszewski 2003   30  0.6817  0.0136  0.0829  0.2914  0.4328  0.35
Ashkenazy 1981   15  0.7227  0.0014  0.099  0.528  0.5111  0.51
Bacha 2000   51  0.6024  0.0032  0.0644  0.1316  0.3640  0.22
Badura 1965   58  0.5941  0.0051  0.0552  0.0520  0.3747  0.14
Barbosa 1983   84  0.4646  0.0079  0.0376  0.0372  0.0489  0.03
Biret 1990   28  0.6886  0.0040  0.0638  0.2031  0.2542  0.22
Blet 2003   40  0.6469  0.0059  0.0460  0.0439  0.1368  0.07
Block 1995   77  0.5166  0.0070  0.0374  0.0348  0.0584  0.04
Blumental 1952   67  0.5635  0.0031  0.0739  0.1611  0.3439  0.23
Boshniakovich 1969   20  0.7111  0.0230  0.0730  0.285  0.5823  0.40
Brailowsky 1960   65  0.5785  0.0076  0.0382  0.0356  0.0577  0.04
Bunin 1987   71  0.5473  0.0073  0.0373  0.0345  0.1173  0.06
Bunin 1987b   72  0.5374  0.0072  0.0379  0.0348  0.0680  0.04
Chiu 1999   82  0.4783  0.0071  0.0471  0.0452  0.0578  0.04
Cohen 1997   87  0.3981  0.0086  0.0386  0.0334  0.1472  0.06
Cortot 1951   39  0.6448  0.0049  0.0553  0.0526  0.3056  0.12
Csalog 1996   78  0.5128  0.0075  0.0466  0.0442  0.1267  0.07
Czerny 1949   6  0.783  0.102  0.182  0.665  0.622  0.64
Czerny 1990   12  0.7449  0.0013  0.0815  0.4416  0.4616  0.45
Duchoud 2007   44  0.6360  0.0053  0.0549  0.0533  0.2855  0.12
Ezaki 2006   21  0.7145  0.0039  0.0634  0.2429  0.3037  0.27
Falvay 1989   68  0.5642  0.0080  0.0385  0.0359  0.0679  0.04
Farrell 1958   35  0.6631  0.0050  0.0456  0.0429  0.2463  0.10
Ferenczy 1958   62  0.5762  0.0065  0.0461  0.0449  0.0675  0.05
Fliere 1977   2  0.8012  0.028  0.185  0.619  0.526  0.56
Fou 1978   61  0.5830  0.0033  0.0741  0.1535  0.1644  0.15
Francois 1956   29  0.6864  0.0037  0.0833  0.2515  0.4430  0.33
Friedman 1923   85  0.4688  0.0055  0.0467  0.0418  0.4053  0.13
Friedman 1923b   83  0.4676  0.0054  0.0465  0.0416  0.4351  0.13
Friedman 1930   57  0.5937  0.0044  0.0742  0.149  0.4938  0.26
Garcia 2007   69  0.5580  0.0062  0.0551  0.0522  0.3649  0.13
Garcia 2007b   80  0.4956  0.0060  0.0459  0.048  0.3857  0.12
Gierzod 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gornostaeva 1994   16  0.7270  0.0043  0.0643  0.1422  0.3441  0.22
Groot 1988   59  0.5939  0.0068  0.0470  0.0456  0.0486  0.04
Harasiewicz 1955   50  0.6134  0.0029  0.0726  0.3229  0.3133  0.31
Hatto 1993   52  0.6032  0.0025  0.0723  0.359  0.5917  0.45
Hatto 1997   43  0.6326  0.0018  0.0821  0.369  0.5220  0.43
Horowitz 1949   47  0.6277  0.0064  0.0646  0.0619  0.4443  0.16
Indjic 1988   49  0.6151  0.0024  0.0824  0.349  0.5718  0.44
Kapell 1951   18  0.7136  0.0019  0.0716  0.4220  0.3724  0.39
Kissin 1993   17  0.722  0.113  0.1510  0.5011  0.5210  0.51
Kushner 1989   8  0.7550  0.0020  0.0720  0.3613  0.4622  0.41
Luisada 1991   31  0.6813  0.0110  0.1319  0.3917  0.4719  0.43
Lushtak 2004   42  0.6321  0.0141  0.0740  0.1642  0.1248  0.14
Malcuzynski 1961   24  0.6929  0.0046  0.0550  0.0516  0.3845  0.14
Magaloff 1978   23  0.7053  0.0034  0.0735  0.2424  0.3236  0.28
Magin 1975   37  0.6538  0.0028  0.0632  0.2513  0.3932  0.31
Michalowski 1933   56  0.5979  0.0038  0.0731  0.2813  0.4427  0.35
Milkina 1970   25  0.6918  0.0111  0.1022  0.3527  0.3229  0.33
Mohovich 1999   26  0.6857  0.0047  0.0548  0.0534  0.2462  0.11
Moravec 1969   54  0.5959  0.0067  0.0464  0.0431  0.3258  0.11
Morozova 2008   53  0.6071  0.0045  0.0645  0.1135  0.1846  0.14
Neighaus 1950   5  0.7844  0.007  0.143  0.633  0.604  0.61
Niedzielski 1931   34  0.6615  0.0121  0.0728  0.305  0.5521  0.41
Ohlsson 1999   3  0.798  0.025  0.134  0.624  0.613  0.61
Osinska 1989   9  0.7522  0.0116  0.0917  0.4111  0.5014  0.45
Pachmann 1927   79  0.5047  0.0085  0.0378  0.0335  0.1371  0.06
Paderewski 1930   36  0.6519  0.0148  0.0457  0.0411  0.3854  0.12
Perlemuter 1992   55  0.5963  0.0057  0.0381  0.0356  0.0487  0.03
Pierdomenico 2008   63  0.5767  0.0069  0.0462  0.0432  0.3260  0.11
Poblocka 1999   7  0.774  0.049  0.217  0.554  0.567  0.55
Rabcewiczowa 1932   41  0.6455  0.0056  0.0469  0.0424  0.3161  0.11
Rachmaninoff 1923   60  0.5854  0.0058  0.0463  0.0445  0.1069  0.06
Rangell 2001   73  0.5368  0.0066  0.0458  0.0452  0.0585  0.04
Richter 1976   76  0.5284  0.0074  0.0380  0.0355  0.0581  0.04
Rosen 1989   10  0.7523  0.0115  0.1111  0.508  0.559  0.52
Rosenthal 1930   38  0.6490  0.0061  0.0454  0.0417  0.4050  0.13
Rosenthal 1931   75  0.5252  0.0084  0.0384  0.0336  0.1666  0.07
Rosenthal 1931b   74  0.5340  0.0083  0.0387  0.0332  0.2064  0.08
Rosenthal 1931c   45  0.6258  0.0063  0.0455  0.0419  0.4252  0.13
Rosenthal 1931d   70  0.5482  0.0082  0.0288  0.0234  0.1774  0.06
Rossi 2007   88  0.3372  0.0088  0.0468  0.0479  0.0388  0.03
Rubinstein 1939   86  0.4543  0.0087  0.0472  0.0445  0.1165  0.07
Rubinstein 1952   81  0.4965  0.0081  0.0383  0.0347  0.0976  0.05
Rubinstein 1966   66  0.5733  0.0078  0.0377  0.0355  0.0582  0.04
Schilhawsky 1960   13  0.7420  0.0117  0.1012  0.466  0.5312  0.49
Shebanova 2002   4  0.795  0.034  0.156  0.595  0.615  0.60
Smith 1975   19  0.7175  0.0035  0.0927  0.3126  0.2734  0.29
Sokolov 2002   27  0.689  0.0242  0.0937  0.2025  0.3835  0.28
Sztompka 1959   11  0.746  0.0312  0.0913  0.4512  0.5113  0.48
Tomsic 1995   64  0.5761  0.0077  0.0375  0.0342  0.1470  0.06
Uninsky 1932   48  0.6225  0.0023  0.0736  0.2319  0.4531  0.32
Uninsky 1971   33  0.6610  0.0222  0.0825  0.3316  0.4426  0.38
Wasowski 1980   46  0.6278  0.0052  0.0647  0.0627  0.2059  0.11
Zak 1937   22  0.7016  0.0127  0.0914  0.4515  0.4515  0.45
Zak 1951   32  0.6714  0.0126  0.0718  0.4018  0.3625  0.38
Average   1  0.851  0.411  0.411  0.779  0.531  0.64
Random 1   91  -0.1491  0.0091  0.0191  0.0168  0.0391  0.02
Random 2   90  -0.0787  0.0090  0.0289  0.0241  0.1083  0.04
Random 3   89  0.0089  0.0089  0.0290  0.0252  0.0590  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).