Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.8223  0.0018  0.0715  0.2614  0.508  0.36
Ashkenazy 1981   29  0.8239  0.0047  0.0739  0.0744  0.0658  0.06
Beliavsky 2004   52  0.777  0.0220  0.0732  0.126  0.4921  0.24
BenOr 1989   5  0.8738  0.0014  0.0713  0.2930  0.1824  0.23
Biret 1990   45  0.8040  0.0050  0.0554  0.0523  0.2245  0.10
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   40  0.815  0.0352  0.0553  0.0536  0.0954  0.07
Brailowsky 1960   43  0.8045  0.0039  0.0551  0.0512  0.4533  0.15
Chiu 1999   34  0.8249  0.0045  0.0640  0.0639  0.0852  0.07
Clidat 1994   9  0.868  0.029  0.109  0.3413  0.3710  0.35
Cohen 1997   60  0.689  0.0253  0.0457  0.041  0.5935  0.15
Coop 1987   14  0.8625  0.0033  0.0935  0.0936  0.1143  0.10
Cortot 1951   48  0.7954  0.0057  0.0462  0.0414  0.3941  0.12
Czerny 1949   53  0.7736  0.007  0.118  0.3427  0.2715  0.30
Czerny 1949b   41  0.8160  0.008  0.167  0.4025  0.2911  0.34
Ezaki 2006   4  0.8718  0.0110  0.0711  0.3133  0.1027  0.18
Falvay 1989   30  0.8235  0.0044  0.0641  0.0634  0.1146  0.08
Ferenczy 1958   32  0.8248  0.0037  0.1034  0.1020  0.3128  0.18
Fiorentino 1962   18  0.8537  0.0030  0.0724  0.1628  0.1732  0.16
Fliere 1977   6  0.8713  0.015  0.114  0.4819  0.334  0.40
Fou 1978   19  0.8562  0.0034  0.1033  0.1029  0.1837  0.13
Francois 1956   51  0.776  0.0227  0.0629  0.155  0.4917  0.27
Hatto 1997   37  0.8128  0.0022  0.0620  0.207  0.4813  0.31
Horowitz 1971   15  0.8520  0.0015  0.0716  0.236  0.559  0.36
Horowitz 1985   58  0.6911  0.0161  0.0644  0.0615  0.4730  0.17
Indjic 2001   38  0.8121  0.0023  0.0821  0.207  0.4814  0.31
Kapell 1951   8  0.8653  0.0021  0.0717  0.2344  0.0639  0.12
Kiepura 1999   50  0.7816  0.0154  0.0458  0.0437  0.0659  0.05
Kilenyi 1937   13  0.8614  0.016  0.135  0.4624  0.345  0.40
Kissin 1993   2  0.904  0.032  0.263  0.6124  0.236  0.37
Kitain 1937   63  0.4451  0.0062  0.0460  0.0421  0.3142  0.11
Kushner 1990   20  0.8517  0.0119  0.0614  0.2713  0.3216  0.29
Levy 1951   57  0.7163  0.0060  0.0459  0.0452  0.0462  0.04
Luisada 1990   10  0.8658  0.0012  0.0910  0.3313  0.417  0.37
Lushtak 2004   12  0.8661  0.0032  0.0826  0.1534  0.0940  0.12
Lympany 1968   7  0.8710  0.0131  0.0823  0.1715  0.4118  0.26
Magaloff 1977   11  0.8634  0.0024  0.0830  0.1424  0.2526  0.19
Magaloff 1977b   16  0.8542  0.0025  0.0731  0.1216  0.2729  0.18
Magin 1975   39  0.8127  0.0051  0.0643  0.0637  0.0853  0.07
Milkina 1970   26  0.8322  0.0028  0.0625  0.1512  0.4419  0.26
Mohovich 1999   35  0.8141  0.0035  0.0836  0.0835  0.0851  0.08
Nadelmann 1956   47  0.793  0.0517  0.0828  0.159  0.4120  0.25
Ohlsson 1999   46  0.7950  0.0058  0.0547  0.0535  0.0757  0.06
Olejniczac 1990   17  0.8532  0.0026  0.0618  0.2326  0.2125  0.22
Olejniczak 1991   21  0.8452  0.0036  0.0737  0.0738  0.0947  0.08
Osinska 1989   3  0.8929  0.003  0.172  0.6215  0.332  0.45
Paderewski 1912   54  0.7644  0.0049  0.0552  0.0553  0.0463  0.04
Perahia 1994   62  0.6066  0.0063  0.0546  0.0540  0.0661  0.05
Perlemuter 1986   42  0.8012  0.014  0.166  0.4413  0.403  0.42
Poblocka 1999   24  0.8456  0.0042  0.0549  0.0537  0.0856  0.06
Rangell 2001   33  0.8255  0.0048  0.0738  0.0738  0.0755  0.07
Risler 1920   36  0.8126  0.0041  0.0456  0.0422  0.3838  0.12
Rosen 1989   27  0.8330  0.0038  0.0550  0.0512  0.3736  0.14
Rubinstein 1939   61  0.6743  0.0056  0.0463  0.0425  0.1748  0.08
Rubinstein 1952   44  0.8019  0.0129  0.0722  0.1717  0.3422  0.24
Rubinstein 1966   55  0.7524  0.0055  0.0455  0.0430  0.1750  0.08
Rummel 1943   59  0.6915  0.0140  0.0642  0.0613  0.4034  0.15
Shebanova 2002   28  0.8333  0.0046  0.0548  0.0552  0.0560  0.05
Smith 1975   23  0.8446  0.0013  0.0819  0.2225  0.2423  0.23
Szpilman 1948   22  0.8447  0.0011  0.0712  0.2917  0.3512  0.32
Uninsky 1971   49  0.792  0.0616  0.0627  0.1523  0.2031  0.17
Wasowski 1980   56  0.7359  0.0059  0.0364  0.0355  0.0464  0.03
Weissenberg 1971   25  0.8357  0.0043  0.0645  0.0633  0.1249  0.08
Average   1  0.921  0.591  0.581  0.7720  0.371  0.53
Random 1    65  -0.1364  0.0065  0.0265  0.0249  0.0365  0.02
Random 2   64  0.0931  0.0064  0.0461  0.0413  0.2544  0.10
Random 3   66  -0.1665  0.0066  0.0166  0.0153  0.0366  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).